Overview

Dataset statistics

Number of variables102
Number of observations461
Missing cells3998
Missing cells (%)8.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory137.4 KiB
Average record size in memory305.3 B

Variable types

Text5
Unsupported8
Categorical16
Boolean73

Alerts

Artificial Intelligence (y/n) is highly overall correlated with List of originHigh correlation
Blockchain (y/n) is highly overall correlated with List of originHigh correlation
Bond Investments (y/n) is highly overall correlated with Hedge Funds (y/n) and 2 other fieldsHigh correlation
Capital Assets (y/n) is highly overall correlated with List of originHigh correlation
Close-ended RE Funds (y/n) is highly overall correlated with List of origin and 2 other fieldsHigh correlation
Core+ RE (y/n) is highly overall correlated with List of originHigh correlation
Direct Bond Investments (y/n) is highly overall correlated with Hedge Funds (y/n) and 1 other fieldsHigh correlation
Direct Lending (y/n) is highly overall correlated with Direct Lending Fund (y/n) and 4 other fieldsHigh correlation
Direct Lending Fund (y/n) is highly overall correlated with Direct Lending (y/n) and 6 other fieldsHigh correlation
Direct PE (y/n) is highly overall correlated with List of origin and 1 other fieldsHigh correlation
Direct Real Estate (y/n) is highly overall correlated with Indirect Bond Investments (y/n) and 1 other fieldsHigh correlation
ESG (y/n) is highly overall correlated with Hedge Funds (y/n) and 8 other fieldsHigh correlation
Equities/Stocks (y/n) is highly overall correlated with Private Equity (y/n)High correlation
Finance (y/n) is highly overall correlated with List of originHigh correlation
Fintech (y/n) is highly overall correlated with List of origin and 5 other fieldsHigh correlation
Food/Nutrition (y/n) is highly overall correlated with List of originHigh correlation
Hedge Funds (y/n) is highly overall correlated with Bond Investments (y/n) and 8 other fieldsHigh correlation
IT (y/n) is highly overall correlated with List of origin and 1 other fieldsHigh correlation
Impact Investing (y/n) is highly overall correlated with Real Estate (y/n)High correlation
Indirect Bond Investments (y/n) is highly overall correlated with Direct Real Estate (y/n) and 2 other fieldsHigh correlation
Indirect PE (y/n) is highly overall correlated with List of origin and 2 other fieldsHigh correlation
Junior PD (y/n) is highly overall correlated with Direct Lending Fund (y/n) and 2 other fieldsHigh correlation
List of origin is highly overall correlated with Artificial Intelligence (y/n) and 27 other fieldsHigh correlation
Loans (y/n) is highly overall correlated with Bond Investments (y/n) and 3 other fieldsHigh correlation
Logistics (y/n) is highly overall correlated with List of originHigh correlation
Mezzanine PD (y/n) is highly overall correlated with List of originHigh correlation
Opportunistic PD (y/n) is highly overall correlated with List of origin and 1 other fieldsHigh correlation
Opportunistic RE (y/n) is highly overall correlated with List of origin and 1 other fieldsHigh correlation
PD Funds (y/n) is highly overall correlated with List of origin and 2 other fieldsHigh correlation
PE Co-Investment is highly overall correlated with Close-ended RE Funds (y/n) and 12 other fieldsHigh correlation
Private Debt (y/n) is highly overall correlated with ESG (y/n) and 10 other fieldsHigh correlation
Private Equity (y/n) is highly overall correlated with ESG (y/n) and 7 other fieldsHigh correlation
Real Assets (y/n) is highly overall correlated with Direct Bond Investments (y/n) and 2 other fieldsHigh correlation
Real Estate (y/n) is highly overall correlated with Direct Real Estate (y/n) and 3 other fieldsHigh correlation
Real Estate Funds (y/n) is highly overall correlated with Bond Investments (y/n) and 4 other fieldsHigh correlation
Senior PD (y/n) is highly overall correlated with ESG (y/n) and 4 other fieldsHigh correlation
Software (y/n) is highly overall correlated with Direct Lending Fund (y/n) and 8 other fieldsHigh correlation
Special Situations/Distressed (y/n) is highly overall correlated with Direct Lending (y/n) and 7 other fieldsHigh correlation
Sustainability (y/n) is highly overall correlated with ESG (y/n) and 7 other fieldsHigh correlation
Unlisted RE Funds (y/n) is highly overall correlated with Direct Lending (y/n) and 14 other fieldsHigh correlation
Value added RE (y/n) is highly overall correlated with Close-ended RE Funds (y/n) and 8 other fieldsHigh correlation
eCommerce (y/n) is highly overall correlated with Direct Lending Fund (y/n) and 3 other fieldsHigh correlation
Bond Investments (y/n) is highly imbalanced (64.0%)Imbalance
Direct Bond Investments (y/n) is highly imbalanced (63.3%)Imbalance
Indirect Bond Investments (y/n) is highly imbalanced (67.3%)Imbalance
Equities/Stocks (y/n) is highly imbalanced (62.4%)Imbalance
Loans (y/n) is highly imbalanced (55.0%)Imbalance
Real Estate (y/n) is highly imbalanced (53.0%)Imbalance
Direct Real Estate (y/n) is highly imbalanced (63.6%)Imbalance
Real Estate Funds (y/n) is highly imbalanced (64.8%)Imbalance
Accomodation/Assisted Living (y/n) is highly imbalanced (62.5%)Imbalance
Private Equity (y/n) is highly imbalanced (63.2%)Imbalance
Crypto (y/n) is highly imbalanced (53.2%)Imbalance
Heavy Engineering (y/n) is highly imbalanced (56.0%)Imbalance
Private Debt (y/n) is highly imbalanced (62.5%)Imbalance
Hedge Funds (y/n) is highly imbalanced (61.9%)Imbalance
Real Assets (y/n) is highly imbalanced (69.8%)Imbalance
Impact Investing (y/n) is highly imbalanced (62.6%)Imbalance
Account ID has 186 (40.3%) missing valuesMissing
Website has 461 (100.0%) missing valuesMissing
Parent Account has 461 (100.0%) missing valuesMissing
Checked for database clean-up has 461 (100.0%) missing valuesMissing
Type has 461 (100.0%) missing valuesMissing
Sub-Type has 461 (100.0%) missing valuesMissing
AUM Stated has 461 (100.0%) missing valuesMissing
Billing Country has 461 (100.0%) missing valuesMissing
Billing City has 461 (100.0%) missing valuesMissing
Preferred Region of Investment has 124 (26.9%) missing valuesMissing
About Us has unique valuesUnique
Investment Focus has unique valuesUnique
Website is an unsupported type, check if it needs cleaning or further analysisUnsupported
Parent Account is an unsupported type, check if it needs cleaning or further analysisUnsupported
Checked for database clean-up is an unsupported type, check if it needs cleaning or further analysisUnsupported
Type is an unsupported type, check if it needs cleaning or further analysisUnsupported
Sub-Type is an unsupported type, check if it needs cleaning or further analysisUnsupported
AUM Stated is an unsupported type, check if it needs cleaning or further analysisUnsupported
Billing Country is an unsupported type, check if it needs cleaning or further analysisUnsupported
Billing City is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-02-09 17:26:47.138635
Analysis finished2024-02-09 17:27:18.159098
Duration31.02 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

Account ID
Text

MISSING 

Distinct275
Distinct (%)100.0%
Missing186
Missing (%)40.3%
Memory size3.7 KiB
2024-02-09T18:27:18.538251image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters4125
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique275 ?
Unique (%)100.0%

Sample

1st row0015700001mkB0l
2nd row0015700001mkUGp
3rd row0015700001mkUQL
4th row0015700001mkUxU
5th row0015700001mkVE0
ValueCountFrequency (%)
001d000001hbfhu 2
 
0.7%
00157000026pvb4 1
 
0.4%
0015700001xobpp 1
 
0.4%
0015700001xobnn 1
 
0.4%
00157000020yqvh 1
 
0.4%
00157000026r31t 1
 
0.4%
00157000026qvih 1
 
0.4%
00157000026qdud 1
 
0.4%
0015700001mkvof 1
 
0.4%
0015700001xobrz 1
 
0.4%
Other values (264) 264
96.0%
2024-02-09T18:27:19.070261image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1937
47.0%
1 465
 
11.3%
D 210
 
5.1%
h 127
 
3.1%
B 114
 
2.8%
5 83
 
2.0%
7 79
 
1.9%
2 65
 
1.6%
O 55
 
1.3%
x 48
 
1.2%
Other values (52) 942
22.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2696
65.4%
Uppercase Letter 755
 
18.3%
Lowercase Letter 674
 
16.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
D 210
27.8%
B 114
15.1%
O 55
 
7.3%
C 46
 
6.1%
J 29
 
3.8%
L 22
 
2.9%
K 21
 
2.8%
A 20
 
2.6%
Q 19
 
2.5%
F 17
 
2.3%
Other values (16) 202
26.8%
Lowercase Letter
ValueCountFrequency (%)
h 127
18.8%
x 48
 
7.1%
u 44
 
6.5%
g 35
 
5.2%
m 33
 
4.9%
f 30
 
4.5%
i 30
 
4.5%
j 27
 
4.0%
o 27
 
4.0%
q 24
 
3.6%
Other values (16) 249
36.9%
Decimal Number
ValueCountFrequency (%)
0 1937
71.8%
1 465
 
17.2%
5 83
 
3.1%
7 79
 
2.9%
2 65
 
2.4%
6 19
 
0.7%
8 16
 
0.6%
3 15
 
0.6%
9 13
 
0.5%
4 4
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 2696
65.4%
Latin 1429
34.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
D 210
 
14.7%
h 127
 
8.9%
B 114
 
8.0%
O 55
 
3.8%
x 48
 
3.4%
C 46
 
3.2%
u 44
 
3.1%
g 35
 
2.4%
m 33
 
2.3%
f 30
 
2.1%
Other values (42) 687
48.1%
Common
ValueCountFrequency (%)
0 1937
71.8%
1 465
 
17.2%
5 83
 
3.1%
7 79
 
2.9%
2 65
 
2.4%
6 19
 
0.7%
8 16
 
0.6%
3 15
 
0.6%
9 13
 
0.5%
4 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4125
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1937
47.0%
1 465
 
11.3%
D 210
 
5.1%
h 127
 
3.1%
B 114
 
2.8%
5 83
 
2.0%
7 79
 
1.9%
2 65
 
1.6%
O 55
 
1.3%
x 48
 
1.2%
Other values (52) 942
22.8%

Website
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing461
Missing (%)100.0%
Memory size3.7 KiB
Distinct430
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-02-09T18:27:19.499883image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length106
Median length57
Mean length27.611714
Min length3

Characters and Unicode

Total characters12729
Distinct characters91
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique399 ?
Unique (%)86.6%

Sample

1st rowUnion Asset Management Holding AG
2nd rowBNP PARIBAS ASSET MANAGEMENT Holding
3rd rowArdian (Germany)
4th rowArdian
5th rowArdian (Switzerland)
ValueCountFrequency (%)
pensioenfonds 67
 
4.0%
stichting 48
 
2.9%
capital 42
 
2.5%
partners 36
 
2.1%
s.a 32
 
1.9%
management 28
 
1.7%
group 26
 
1.5%
gmbh 23
 
1.4%
insurance 22
 
1.3%
ag 19
 
1.1%
Other values (684) 1340
79.6%
2024-02-09T18:27:20.060020image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1222
 
9.6%
e 1024
 
8.0%
n 993
 
7.8%
a 791
 
6.2%
i 745
 
5.9%
s 639
 
5.0%
o 627
 
4.9%
t 626
 
4.9%
r 558
 
4.4%
l 352
 
2.8%
Other values (81) 5152
40.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8728
68.6%
Uppercase Letter 2297
 
18.0%
Space Separator 1222
 
9.6%
Other Punctuation 286
 
2.2%
Close Punctuation 83
 
0.7%
Open Punctuation 83
 
0.7%
Dash Punctuation 22
 
0.2%
Decimal Number 7
 
0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1024
11.7%
n 993
11.4%
a 791
 
9.1%
i 745
 
8.5%
s 639
 
7.3%
o 627
 
7.2%
t 626
 
7.2%
r 558
 
6.4%
l 352
 
4.0%
d 350
 
4.0%
Other values (35) 2023
23.2%
Uppercase Letter
ValueCountFrequency (%)
A 295
12.8%
P 291
12.7%
S 236
 
10.3%
G 145
 
6.3%
C 115
 
5.0%
B 114
 
5.0%
I 103
 
4.5%
E 102
 
4.4%
N 96
 
4.2%
M 90
 
3.9%
Other values (21) 710
30.9%
Other Punctuation
ValueCountFrequency (%)
. 226
79.0%
, 36
 
12.6%
& 14
 
4.9%
/ 7
 
2.4%
' 3
 
1.0%
Decimal Number
ValueCountFrequency (%)
8 2
28.6%
5 2
28.6%
1 1
14.3%
7 1
14.3%
2 1
14.3%
Space Separator
ValueCountFrequency (%)
1222
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11025
86.6%
Common 1704
 
13.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1024
 
9.3%
n 993
 
9.0%
a 791
 
7.2%
i 745
 
6.8%
s 639
 
5.8%
o 627
 
5.7%
t 626
 
5.7%
r 558
 
5.1%
l 352
 
3.2%
d 350
 
3.2%
Other values (66) 4320
39.2%
Common
ValueCountFrequency (%)
1222
71.7%
. 226
 
13.3%
) 83
 
4.9%
( 83
 
4.9%
, 36
 
2.1%
- 22
 
1.3%
& 14
 
0.8%
/ 7
 
0.4%
' 3
 
0.2%
8 2
 
0.1%
Other values (5) 6
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12611
99.1%
None 117
 
0.9%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1222
 
9.7%
e 1024
 
8.1%
n 993
 
7.9%
a 791
 
6.3%
i 745
 
5.9%
s 639
 
5.1%
o 627
 
5.0%
t 626
 
5.0%
r 558
 
4.4%
l 352
 
2.8%
Other values (56) 5034
39.9%
None
ValueCountFrequency (%)
é 17
14.5%
á 17
14.5%
í 16
13.7%
ť 11
9.4%
č 11
9.4%
š 10
8.5%
Č 5
 
4.3%
ó 5
 
4.3%
ń 3
 
2.6%
Ż 3
 
2.6%
Other values (14) 19
16.2%
Punctuation
ValueCountFrequency (%)
1
100.0%

List of origin
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
FoF infra+private equity
186 
P&I CEE
139 
P&I Benelux
136 

Length

Max length24
Median length11
Mean length15.039046
Min length7

Characters and Unicode

Total characters6933
Distinct characters24
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFoF infra+private equity
2nd rowFoF infra+private equity
3rd rowFoF infra+private equity
4th rowFoF infra+private equity
5th rowFoF infra+private equity

Common Values

ValueCountFrequency (%)
FoF infra+private equity 186
40.3%
P&I CEE 139
30.2%
P&I Benelux 136
29.5%

Length

2024-02-09T18:27:20.211649image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-09T18:27:20.353652image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
ValueCountFrequency (%)
p&i 275
24.8%
fof 186
16.8%
infra+private 186
16.8%
equity 186
16.8%
cee 139
12.5%
benelux 136
12.3%

Most occurring characters

ValueCountFrequency (%)
647
 
9.3%
e 644
 
9.3%
i 558
 
8.0%
r 372
 
5.4%
t 372
 
5.4%
a 372
 
5.4%
F 372
 
5.4%
n 322
 
4.6%
u 322
 
4.6%
E 278
 
4.0%
Other values (14) 2674
38.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4350
62.7%
Uppercase Letter 1475
 
21.3%
Space Separator 647
 
9.3%
Other Punctuation 275
 
4.0%
Math Symbol 186
 
2.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 644
14.8%
i 558
12.8%
r 372
8.6%
t 372
8.6%
a 372
8.6%
n 322
 
7.4%
u 322
 
7.4%
f 186
 
4.3%
y 186
 
4.3%
q 186
 
4.3%
Other values (5) 830
19.1%
Uppercase Letter
ValueCountFrequency (%)
F 372
25.2%
E 278
18.8%
I 275
18.6%
P 275
18.6%
C 139
 
9.4%
B 136
 
9.2%
Space Separator
ValueCountFrequency (%)
647
100.0%
Other Punctuation
ValueCountFrequency (%)
& 275
100.0%
Math Symbol
ValueCountFrequency (%)
+ 186
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5825
84.0%
Common 1108
 
16.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 644
 
11.1%
i 558
 
9.6%
r 372
 
6.4%
t 372
 
6.4%
a 372
 
6.4%
F 372
 
6.4%
n 322
 
5.5%
u 322
 
5.5%
E 278
 
4.8%
I 275
 
4.7%
Other values (11) 1938
33.3%
Common
ValueCountFrequency (%)
647
58.4%
& 275
24.8%
+ 186
 
16.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6933
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
647
 
9.3%
e 644
 
9.3%
i 558
 
8.0%
r 372
 
5.4%
t 372
 
5.4%
a 372
 
5.4%
F 372
 
5.4%
n 322
 
4.6%
u 322
 
4.6%
E 278
 
4.0%
Other values (14) 2674
38.6%

Parent Account
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing461
Missing (%)100.0%
Memory size3.7 KiB

Checked for database clean-up
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing461
Missing (%)100.0%
Memory size3.7 KiB

Type
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing461
Missing (%)100.0%
Memory size3.7 KiB

Sub-Type
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing461
Missing (%)100.0%
Memory size3.7 KiB

AUM Stated
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing461
Missing (%)100.0%
Memory size3.7 KiB

Billing Country
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing461
Missing (%)100.0%
Memory size3.7 KiB

Billing City
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing461
Missing (%)100.0%
Memory size3.7 KiB

About Us
Text

UNIQUE 

Distinct461
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-02-09T18:27:20.780048image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length2163
Median length1011
Mean length927.95879
Min length594

Characters and Unicode

Total characters427789
Distinct characters99
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique461 ?
Unique (%)100.0%

Sample

1st rowUnion Asset Management Holding AG is a reputable financial services company offering a wide range of investment products and services. The company specializes in wealth management, with a focus on providing customized investment solutions that align with each client's financial goals. Additionally, Union Asset Management is known for its expertise in real estate investment, offering opportunities for investors to participate in various real estate markets. The company also has a strong presence in fixed income, offering investment strategies that aim to provide stable and consistent returns. Furthermore, Union Asset Management has a robust private equity division, providing access to investment opportunities in privately held companies with high growth potential. Overall, the company's diversified investment offerings and strong track record make it an attractive option for investors seeking comprehensive wealth management solutions.
2nd rowBNP Paribas Asset Management Holding is a leading global asset manager with a presence in over 30 countries and a diversified client base. The company offers a wide range of investment solutions tailored to meet the needs of their clients, including institutional investors, corporates, high-net-worth individuals, and retail investors. They have a strong focus on sustainable investing, with a commitment to integrating environmental, social, and governance (ESG) factors into their investment processes. The company is also engaged in wealth management, offering a comprehensive suite of solutions to meet the diverse financial needs of their clients. Additionally, BNP Paribas Asset Management Holding has a significant presence in real estate, fixed income, and private equity, offering a broad array of investment opportunities across these asset classes. Their robust global reach and extensive investment capabilities make them a strong contender for investors seeking a reliable and diversified asset management partner.
3rd rowArdian is a global leader in alternative asset management with a strong presence in Germany. The company's investment focus is on private equity, infrastructure, real estate, and private debt, making it an attractive investment opportunity for those interested in these asset classes. In addition to its traditional investment offerings, Ardian also has a robust wealth management business, providing comprehensive financial advisory services and investment solutions to high-net-worth individuals and families in Germany. Ardian's strong foothold in the German market, coupled with its diverse portfolio of investment strategies and its commitment to responsible and sustainable investing, positions the company as an attractive option for investors looking to diversify their portfolio and generate long-term returns. With a history of successful investments and a reputation for excellence, Ardian is a compelling choice for investors seeking exposure to the dynamic and growing German market.
4th rowArdian is a global private investment firm that focuses on investing in a wide range of asset classes, including private equity, real estate, infrastructure, and private debt. The company has a strong track record of successfully generating long-term value for its investors through its disciplined investment approach and strategic management of its diverse portfolio. Ardian has a strong focus on sustainability and responsible investing, with a dedicated team that is committed to integrating environmental, social, and governance (ESG) criteria into its investment processes. The company also has a significant presence in the wealth management space, offering a range of investment solutions to high-net-worth individuals, family offices, and institutions. Overall, Ardian is well-positioned to take advantage of global investment opportunities and deliver strong returns to its investors across a range of asset classes.
5th rowArdian is a leading global private investment company with an extensive portfolio of investments in a variety of sectors including infrastructure, real estate, and private equity. The company has a strong presence in Switzerland with a focus on providing growth capital and buyout investments to businesses in the region. Ardian has a well-established track record of successful investments and a strong network of partners in Switzerland, making it an attractive option for potential investors looking to enter the Swiss market. Their wealth management business has been known for its innovative and diversified strategies, giving investors access to a wide range of investment opportunities. Additionally, Ardian has a strong expertise in real estate and fixed income, with a focus on generating consistent, long-term returns for their investors.
ValueCountFrequency (%)
and 2896
 
4.8%
a 2622
 
4.3%
the 2108
 
3.5%
to 1780
 
2.9%
in 1733
 
2.9%
of 1464
 
2.4%
investment 1229
 
2.0%
its 957
 
1.6%
management 855
 
1.4%
is 844
 
1.4%
Other values (2888) 44256
72.9%
2024-02-09T18:27:21.436346image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60249
14.1%
e 41255
 
9.6%
i 33992
 
7.9%
n 32801
 
7.7%
t 32135
 
7.5%
a 29098
 
6.8%
s 27646
 
6.5%
o 22789
 
5.3%
r 21285
 
5.0%
l 12517
 
2.9%
Other values (89) 114022
26.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 350847
82.0%
Space Separator 60249
 
14.1%
Uppercase Letter 7916
 
1.9%
Other Punctuation 7379
 
1.7%
Dash Punctuation 956
 
0.2%
Open Punctuation 124
 
< 0.1%
Close Punctuation 124
 
< 0.1%
Decimal Number 92
 
< 0.1%
Control 79
 
< 0.1%
Final Punctuation 23
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 41255
11.8%
i 33992
 
9.7%
n 32801
 
9.3%
t 32135
 
9.2%
a 29098
 
8.3%
s 27646
 
7.9%
o 22789
 
6.5%
r 21285
 
6.1%
l 12517
 
3.6%
c 11887
 
3.4%
Other values (36) 85442
24.4%
Uppercase Letter
ValueCountFrequency (%)
T 1033
13.0%
A 981
12.4%
P 758
 
9.6%
S 634
 
8.0%
G 452
 
5.7%
I 440
 
5.6%
C 346
 
4.4%
E 343
 
4.3%
B 324
 
4.1%
N 302
 
3.8%
Other values (21) 2303
29.1%
Decimal Number
ValueCountFrequency (%)
2 17
18.5%
1 16
17.4%
0 14
15.2%
9 14
15.2%
5 9
9.8%
8 8
8.7%
3 8
8.7%
6 2
 
2.2%
4 2
 
2.2%
7 2
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 4089
55.4%
. 2880
39.0%
' 356
 
4.8%
& 38
 
0.5%
/ 14
 
0.2%
; 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
60249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 956
100.0%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Control
ValueCountFrequency (%)
79
100.0%
Final Punctuation
ValueCountFrequency (%)
23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 358763
83.9%
Common 69026
 
16.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 41255
11.5%
i 33992
 
9.5%
n 32801
 
9.1%
t 32135
 
9.0%
a 29098
 
8.1%
s 27646
 
7.7%
o 22789
 
6.4%
r 21285
 
5.9%
l 12517
 
3.5%
c 11887
 
3.3%
Other values (67) 93358
26.0%
Common
ValueCountFrequency (%)
60249
87.3%
, 4089
 
5.9%
. 2880
 
4.2%
- 956
 
1.4%
' 356
 
0.5%
( 124
 
0.2%
) 124
 
0.2%
79
 
0.1%
& 38
 
0.1%
23
 
< 0.1%
Other values (12) 108
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 427514
99.9%
None 252
 
0.1%
Punctuation 23
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60249
14.1%
e 41255
 
9.6%
i 33992
 
8.0%
n 32801
 
7.7%
t 32135
 
7.5%
a 29098
 
6.8%
s 27646
 
6.5%
o 22789
 
5.3%
r 21285
 
5.0%
l 12517
 
2.9%
Other values (63) 113747
26.6%
None
ValueCountFrequency (%)
í 39
15.5%
á 33
13.1%
ť 29
11.5%
č 24
9.5%
š 23
9.1%
é 19
7.5%
Č 15
 
6.0%
ó 15
 
6.0%
ň 8
 
3.2%
Ż 7
 
2.8%
Other values (15) 40
15.9%
Punctuation
ValueCountFrequency (%)
23
100.0%

Investment Focus
Text

UNIQUE 

Distinct461
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-02-09T18:27:21.852122image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length1204
Median length932
Mean length859.67679
Min length272

Characters and Unicode

Total characters396311
Distinct characters92
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique461 ?
Unique (%)100.0%

Sample

1st rowUnion Asset Management Holding AG primarily focuses on investing in a diverse range of asset classes, including equities, fixed income securities, and alternative investments such as derivatives and commodities. The company's investment strategy involves identifying opportunities within the global market to allocate capital across different sectors and geographies. Additionally, Union Asset Management Holding AG aims to achieve value through a systematic and research-driven approach to portfolio management, utilizing both fundamental and quantitative analysis. Furthermore, the company places a strong emphasis on risk management and seeks to optimize risk-adjusted returns for its clients. Finally, Union Asset Management Holding AG is committed to providing tailored investment solutions that align with the long-term objectives and risk profiles of its diverse client base.
2nd rowBNP Paribas Asset Management holds a robust focus on diverse asset classes such as equities, fixed income, multi-asset solutions, and smart beta strategies. The company also specializes in actively managing alternative investments including hedge funds, private credit, and structured finance. With a global perspective, they invest across various regions and sectors, allowing for a well-rounded and diversified portfolio. Additionally, BNP Paribas Asset Management holds a strong emphasis on sustainable investing, integrating environmental, social, and governance (ESG) factors into their investment decisions. Their investment focus also underscores a commitment to delivering long-term value for their clients, through a combination of fundamental analysis, quantitative expertise, and macroeconomic insights.
3rd rowArdian, a renowned investment company based in Germany, has a focused investment strategy centered around a diverse range of asset classes. The company strategically invests in a variety of sectors such as infrastructure, real estate, and renewable energy projects, with a strong emphasis on sustainable and long-term growth opportunities. Additionally, Ardian is actively involved in the alternative investment space by participating in opportunities such as venture capital and distressed debt, offering a broad spectrum of investment options to their clients. Their asset class focus also extends to the field of private credit, where they actively seek out opportunities in the credit markets, leveraging their expertise to generate value for their investors. Furthermore, Ardian's investment approach is characterized by a keen eye for opportunities in mature companies, ensuring a well-rounded and comprehensive approach to their investment strategy.
4th rowArdian is a global investment firm that concentrates on a diverse set of assets across the private market landscape. The firm focuses on deploying capital in a range of investment vehicles, including buyouts, infrastructure, and credit. Ardian also invests in indirect fund investments and co-investments across various sectors and geographies. Additionally, the firm pursues mezzanine and direct debt opportunities to generate returns for its investors. Through its comprehensive approach, Ardian provides opportunities for diversification and value creation across different asset classes in the private market.
5th rowArdian, based in Switzerland, has a diverse investment focus that encompasses a wide range of asset classes, including infrastructure, funds of funds, co-investments, and secondary investments. The company seeks to invest in infrastructure projects that have the potential to generate stable, long-term cash flows, with a particular emphasis on sectors such as transportation, energy, and utilities. In addition, Ardian actively engages in funds of funds, aiming to create diversified portfolios of private equity and other alternative investments. Co-investments represent another key area of focus for Ardian, as the company looks to partner with other investors in direct investments in private companies, complementing its primary private equity investment strategy. Lastly, Ardian's investment focus also extends to secondary investments, where the company acquires existing stakes in private equity funds or portfolios of companies from other investors, thereby providing liquidity and portfolio diversification opportunities for existing investors.
ValueCountFrequency (%)
and 2816
 
5.2%
to 1962
 
3.7%
a 1653
 
3.1%
the 1469
 
2.7%
investment 1260
 
2.3%
in 1190
 
2.2%
of 1058
 
2.0%
its 932
 
1.7%
on 833
 
1.6%
asset 706
 
1.3%
Other values (2454) 39845
74.2%
2024-02-09T18:27:22.459879image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53263
13.4%
e 37501
 
9.5%
t 31879
 
8.0%
i 31568
 
8.0%
s 28563
 
7.2%
n 28380
 
7.2%
a 27034
 
6.8%
o 22218
 
5.6%
r 19615
 
4.9%
c 12086
 
3.0%
Other values (82) 104204
26.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 328302
82.8%
Space Separator 53263
 
13.4%
Other Punctuation 6694
 
1.7%
Uppercase Letter 6628
 
1.7%
Dash Punctuation 1076
 
0.3%
Close Punctuation 151
 
< 0.1%
Open Punctuation 151
 
< 0.1%
Final Punctuation 26
 
< 0.1%
Decimal Number 20
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 37501
11.4%
t 31879
9.7%
i 31568
9.6%
s 28563
 
8.7%
n 28380
 
8.6%
a 27034
 
8.2%
o 22218
 
6.8%
r 19615
 
6.0%
c 12086
 
3.7%
l 12082
 
3.7%
Other values (34) 77376
23.6%
Uppercase Letter
ValueCountFrequency (%)
T 1018
15.4%
A 962
14.5%
P 564
 
8.5%
S 529
 
8.0%
G 364
 
5.5%
I 363
 
5.5%
E 306
 
4.6%
F 289
 
4.4%
B 275
 
4.1%
C 269
 
4.1%
Other values (21) 1689
25.5%
Decimal Number
ValueCountFrequency (%)
8 6
30.0%
5 5
25.0%
1 3
15.0%
2 3
15.0%
7 2
 
10.0%
3 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 3533
52.8%
. 2795
41.8%
' 331
 
4.9%
& 19
 
0.3%
/ 16
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 1073
99.7%
3
 
0.3%
Space Separator
ValueCountFrequency (%)
53263
100.0%
Close Punctuation
ValueCountFrequency (%)
) 151
100.0%
Open Punctuation
ValueCountFrequency (%)
( 151
100.0%
Final Punctuation
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 334930
84.5%
Common 61381
 
15.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 37501
11.2%
t 31879
 
9.5%
i 31568
 
9.4%
s 28563
 
8.5%
n 28380
 
8.5%
a 27034
 
8.1%
o 22218
 
6.6%
r 19615
 
5.9%
c 12086
 
3.6%
l 12082
 
3.6%
Other values (65) 84004
25.1%
Common
ValueCountFrequency (%)
53263
86.8%
, 3533
 
5.8%
. 2795
 
4.6%
- 1073
 
1.7%
' 331
 
0.5%
) 151
 
0.2%
( 151
 
0.2%
26
 
< 0.1%
& 19
 
< 0.1%
/ 16
 
< 0.1%
Other values (7) 23
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396028
99.9%
None 254
 
0.1%
Punctuation 29
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53263
13.4%
e 37501
 
9.5%
t 31879
 
8.0%
i 31568
 
8.0%
s 28563
 
7.2%
n 28380
 
7.2%
a 27034
 
6.8%
o 22218
 
5.6%
r 19615
 
5.0%
c 12086
 
3.1%
Other values (57) 103921
26.2%
None
ValueCountFrequency (%)
á 38
15.0%
í 36
14.2%
ť 30
11.8%
č 27
10.6%
š 24
9.4%
é 19
7.5%
ó 15
 
5.9%
Č 9
 
3.5%
ň 8
 
3.1%
Ż 6
 
2.4%
Other values (13) 42
16.5%
Punctuation
ValueCountFrequency (%)
26
89.7%
3
 
10.3%

Bond Investments (y/n)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct18
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
TRUE
262 
FALSE
162 
False
 
21
True
 
2
I'm sorry, but I am unable to find current and specific investment information for the Nokia Corporate Pension in Belgium to say definitively whether they invest in bonds with just true or false Investment portfolios for pension funds can be quite diverse and can change over time based on various strategies and market conditions, so it would be necessary to look at the latest financial reports or official statements from the pension fund for accurate information
 
1
Other values (13)
 
13

Length

Max length495
Median length4
Mean length13.9718
Min length4

Characters and Unicode

Total characters6441
Distinct characters60
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)3.0%

Sample

1st rowFALSE
2nd rowTRUE
3rd rowFALSE
4th rowFALSE
5th rowFALSE

Common Values

ValueCountFrequency (%)
TRUE 262
56.8%
FALSE 162
35.1%
False 21
 
4.6%
True 2
 
0.4%
I'm sorry, but I am unable to find current and specific investment information for the Nokia Corporate Pension in Belgium to say definitively whether they invest in bonds with just true or false Investment portfolios for pension funds can be quite diverse and can change over time based on various strategies and market conditions, so it would be necessary to look at the latest financial reports or official statements from the pension fund for accurate information 1
 
0.2%
I cannot provide real-time or the most recent financial investment decisions or strategies for specific companies, such as "Pensioenfonds voor de Architectenbureaus," as my training data only includes information up to September 2021 You would need to check the most current sources or the company's official communications for their current investment holdings 1
 
0.2%
I'm sorry, but as an AI, I do not have real-time or company-specific investment information such as whether Dow Pensioenfonds invests in bonds This information can change over time based on the investment decisions made by the pension fund's management You would have to check the latest financial reports or official statements from Dow Pensioenfonds for such information 1
 
0.2%
I'm sorry, but I cannot provide real-time or the latest details on specific investment activities of companies such as Stichting De Samenwerking, Pensioenfonds voor het Slagersbedrijf My capabilities are based on information available up until early 2023, and I can't access or retrieve real-time data or confirm current investment strategies of specific entities Please consult the latest financial reports or the official website of the entity for the most accurate and updated information 1
 
0.2%
Not enough information 1
 
0.2%
I'm sorry, but I cannot provide a definitive one-word TRUE or FALSE answer without specific, updated information regarding Stichting Pensioenfonds Atos (SPA) and its investment strategies Pension funds like SPA often have diversified portfolios that may include bonds among other asset classes, but without current data, I cannot confirm the specifics of their investments 1
 
0.2%
Other values (8) 8
 
1.7%

Length

2024-02-09T18:27:22.613508image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
true 270
24.3%
false 190
 
17.1%
the 30
 
2.7%
or 25
 
2.3%
investment 20
 
1.8%
to 19
 
1.7%
information 19
 
1.7%
for 15
 
1.4%
strategies 11
 
1.0%
financial 10
 
0.9%
Other values (196) 502
45.2%

Most occurring characters

ValueCountFrequency (%)
649
 
10.1%
e 440
 
6.8%
E 429
 
6.7%
t 366
 
5.7%
n 323
 
5.0%
o 314
 
4.9%
i 310
 
4.8%
s 294
 
4.6%
a 280
 
4.3%
T 270
 
4.2%
Other values (50) 2766
42.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3693
57.3%
Uppercase Letter 2017
31.3%
Space Separator 649
 
10.1%
Other Punctuation 49
 
0.8%
Dash Punctuation 17
 
0.3%
Decimal Number 8
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Control 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 440
11.9%
t 366
9.9%
n 323
 
8.7%
o 314
 
8.5%
i 310
 
8.4%
s 294
 
8.0%
a 280
 
7.6%
r 238
 
6.4%
c 156
 
4.2%
l 124
 
3.4%
Other values (15) 848
23.0%
Uppercase Letter
ValueCountFrequency (%)
E 429
21.3%
T 270
13.4%
U 268
13.3%
R 265
13.1%
F 192
9.5%
A 179
8.9%
S 174
8.6%
L 167
 
8.3%
I 22
 
1.1%
P 17
 
0.8%
Other values (11) 34
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 28
57.1%
' 15
30.6%
" 4
 
8.2%
: 1
 
2.0%
/ 1
 
2.0%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
0 2
25.0%
3 1
 
12.5%
1 1
 
12.5%
Space Separator
ValueCountFrequency (%)
649
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5710
88.7%
Common 731
 
11.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 440
 
7.7%
E 429
 
7.5%
t 366
 
6.4%
n 323
 
5.7%
o 314
 
5.5%
i 310
 
5.4%
s 294
 
5.1%
a 280
 
4.9%
T 270
 
4.7%
U 268
 
4.7%
Other values (36) 2416
42.3%
Common
ValueCountFrequency (%)
649
88.8%
, 28
 
3.8%
- 17
 
2.3%
' 15
 
2.1%
" 4
 
0.5%
2 4
 
0.5%
( 3
 
0.4%
) 3
 
0.4%
0 2
 
0.3%
2
 
0.3%
Other values (4) 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6441
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
649
 
10.1%
e 440
 
6.8%
E 429
 
6.7%
t 366
 
5.7%
n 323
 
5.0%
o 314
 
4.9%
i 310
 
4.8%
s 294
 
4.6%
a 280
 
4.3%
T 270
 
4.2%
Other values (50) 2766
42.9%

Direct Bond Investments (y/n)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct16
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
TRUE
279 
FALSE
142 
False
 
25
True
 
2
Insufficient information
 
2
Other values (11)
 
11

Length

Max length513
Median length4
Mean length9.5791757
Min length4

Characters and Unicode

Total characters4416
Distinct characters56
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)2.4%

Sample

1st rowTRUE
2nd rowTRUE
3rd rowFALSE
4th rowTRUE
5th rowFALSE

Common Values

ValueCountFrequency (%)
TRUE 279
60.5%
FALSE 142
30.8%
False 25
 
5.4%
True 2
 
0.4%
Insufficient information 2
 
0.4%
It is not possible to provide a one-word answer without violating the provided rules since I cannot provide punctuation to confirm the answer as "TRUE" or "FALSE" As a result, I cannot offer a literal one-word answer without additional clarification on the nature of the company's activities, which are not detailed in the provided information If you'd like to know more about Stichting Pensioenfonds voor Fysiotherapeuten or another subject, feel free to provide additional details or ask a different question! 1
 
0.2%
I'm sorry, but as an AI developed by OpenAI, I'm unable to access real-time, updated information on specific companies' investment strategies, including the Stichting Pensioenfonds IBM Nederland (SPIN) For concrete and updated information on whether they make direct bond investments, you would need to refer to their official communications or financial reports 1
 
0.2%
Not enough information 1
 
0.2%
I'm unable to provide real-time or current information about specific investment activities of companies as of my last update Please check the latest reports or the company's website for such specific information 1
 
0.2%
I'm sorry, but I can't provide a one-word TRUE or FALSE answer to whether Stichting Pensioenfonds Medewerkers Apotheken (PMA) makes direct bond investments without more specific information about their investment activities as of my last update in early 2023 Investment strategies and allocations can change and depend on the policies set by the pension fund's portfolio managers 1
 
0.2%
Other values (6) 6
 
1.3%

Length

2024-02-09T18:27:22.754320image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
true 287
35.4%
false 173
21.3%
information 14
 
1.7%
to 14
 
1.7%
the 14
 
1.7%
or 12
 
1.5%
a 9
 
1.1%
investment 8
 
1.0%
provide 8
 
1.0%
specific 7
 
0.9%
Other values (146) 265
32.7%

Most occurring characters

ValueCountFrequency (%)
E 431
 
9.8%
350
 
7.9%
U 289
 
6.5%
T 286
 
6.5%
R 285
 
6.5%
e 250
 
5.7%
t 196
 
4.4%
i 184
 
4.2%
n 181
 
4.1%
o 180
 
4.1%
Other values (46) 1784
40.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2036
46.1%
Uppercase Letter 1976
44.7%
Space Separator 350
 
7.9%
Other Punctuation 34
 
0.8%
Decimal Number 8
 
0.2%
Dash Punctuation 6
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Control 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 250
12.3%
t 196
9.6%
i 184
 
9.0%
n 181
 
8.9%
o 180
 
8.8%
a 154
 
7.6%
s 143
 
7.0%
r 125
 
6.1%
c 77
 
3.8%
l 74
 
3.6%
Other values (14) 472
23.2%
Uppercase Letter
ValueCountFrequency (%)
E 431
21.8%
U 289
14.6%
T 286
14.5%
R 285
14.4%
F 176
8.9%
A 155
 
7.8%
S 154
 
7.8%
L 150
 
7.6%
I 20
 
1.0%
P 11
 
0.6%
Other values (9) 19
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 15
44.1%
' 14
41.2%
" 4
 
11.8%
! 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
0 2
25.0%
3 1
 
12.5%
1 1
 
12.5%
Space Separator
ValueCountFrequency (%)
350
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4012
90.9%
Common 404
 
9.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 431
 
10.7%
U 289
 
7.2%
T 286
 
7.1%
R 285
 
7.1%
e 250
 
6.2%
t 196
 
4.9%
i 184
 
4.6%
n 181
 
4.5%
o 180
 
4.5%
F 176
 
4.4%
Other values (33) 1554
38.7%
Common
ValueCountFrequency (%)
350
86.6%
, 15
 
3.7%
' 14
 
3.5%
- 6
 
1.5%
2 4
 
1.0%
" 4
 
1.0%
( 2
 
0.5%
0 2
 
0.5%
) 2
 
0.5%
2
 
0.5%
Other values (3) 3
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4416
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 431
 
9.8%
350
 
7.9%
U 289
 
6.5%
T 286
 
6.5%
R 285
 
6.5%
e 250
 
5.7%
t 196
 
4.4%
i 184
 
4.2%
n 181
 
4.1%
o 180
 
4.1%
Other values (46) 1784
40.4%

Indirect Bond Investments (y/n)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct20
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
TRUE
326 
FALSE
93 
False
 
19
Insufficient information
 
5
True
 
3
Other values (15)
 
15

Length

Max length939
Median length4
Mean length15.498915
Min length4

Characters and Unicode

Total characters7145
Distinct characters60
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)3.3%

Sample

1st rowTRUE
2nd rowTRUE
3rd rowTRUE
4th rowTRUE
5th rowTRUE

Common Values

ValueCountFrequency (%)
TRUE 326
70.7%
FALSE 93
 
20.2%
False 19
 
4.1%
Insufficient information 5
 
1.1%
True 3
 
0.7%
Unfortunately, I don't have information on the specific investment strategies for Stichting Philips Pensioenfonds as of my last update Investment strategies for specific funds like this one can vary and may be subject to change, so it's best to consult the latest financial reports or the fund's official communications for such information 1
 
0.2%
Unable 1
 
0.2%
Indirect investments include assets that represent a pool of individual direct investments, such as mutual funds or exchange-traded funds Pension funds, including TKP Pensioen BV, typically invest in a diversified portfolio that can include both direct and indirect investments As such, they likely have indirect bond investments as part of their diversified investment strategy However, without current, specific information about TKP's investment holdings, I can only generalize based on standard pension fund practices It is advisable to consult the latest financial reports or reach out to TKP directly for the most accurate and updated information 1
 
0.2%
To accurately determine whether Stichting Bedrijfstakpensioenfonds for Foodservice & Groothandel in Levensmiddelen makes indirect bond investments, it would require specific information about the investment strategy and portfolio of the pension fund Pension funds typically have a diverse investment portfolio that can include direct and indirect investments across various asset classes, including bonds However, without current and detailed data on the fund's investments, I cannot provide a definitive answer As of my last update, there is no publicly available detailed information specific to the investment practices of Stichting Bedrijfstakpensioenfonds for Foodservice & Groothandel in Levensmiddelen If this information has been made publicly available after my last update, or if there are additional details that specify the fund's investment strategy, please provide them, and I may be able to give an accurate one-word answer 1
 
0.2%
Indirect bond investments refer to investing in bonds through a vehicle such as a bond fund rather than owning the bonds directly This allows investors to pool their assets to invest in a diverse range of securities Pension funds like Stichting Pensioenfonds Campina typically have a diversified investment portfolio, which may include direct and indirect bond investments However, without specific and current information about Stichting Pensioenfonds Campina's investment strategy and holdings, I cannot confirm whether they are currently making indirect bond investments Therefore, the answer is: UNKNOWN 1
 
0.2%
Other values (10) 10
 
2.2%

Length

2024-02-09T18:27:22.881022image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
true 334
27.6%
false 117
 
9.7%
to 27
 
2.2%
the 24
 
2.0%
investment 23
 
1.9%
information 22
 
1.8%
a 18
 
1.5%
and 17
 
1.4%
investments 16
 
1.3%
specific 16
 
1.3%
Other values (228) 595
49.2%

Most occurring characters

ValueCountFrequency (%)
745
 
10.4%
e 514
 
7.2%
t 436
 
6.1%
E 424
 
5.9%
n 407
 
5.7%
i 406
 
5.7%
T 341
 
4.8%
s 339
 
4.7%
U 331
 
4.6%
R 327
 
4.6%
Other values (50) 2875
40.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4376
61.2%
Uppercase Letter 1943
27.2%
Space Separator 745
 
10.4%
Other Punctuation 63
 
0.9%
Decimal Number 8
 
0.1%
Control 6
 
0.1%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 514
11.7%
t 436
10.0%
n 407
 
9.3%
i 406
 
9.3%
s 339
 
7.7%
a 320
 
7.3%
o 312
 
7.1%
r 255
 
5.8%
c 190
 
4.3%
d 174
 
4.0%
Other values (17) 1023
23.4%
Uppercase Letter
ValueCountFrequency (%)
E 424
21.8%
T 341
17.6%
U 331
17.0%
R 327
16.8%
F 121
 
6.2%
A 106
 
5.5%
S 105
 
5.4%
L 98
 
5.0%
I 33
 
1.7%
P 17
 
0.9%
Other values (11) 40
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 37
58.7%
' 19
30.2%
" 4
 
6.3%
& 2
 
3.2%
: 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
0 2
25.0%
3 1
 
12.5%
1 1
 
12.5%
Space Separator
ValueCountFrequency (%)
745
100.0%
Control
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6319
88.4%
Common 826
 
11.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 514
 
8.1%
t 436
 
6.9%
E 424
 
6.7%
n 407
 
6.4%
i 406
 
6.4%
T 341
 
5.4%
s 339
 
5.4%
U 331
 
5.2%
R 327
 
5.2%
a 320
 
5.1%
Other values (38) 2474
39.2%
Common
ValueCountFrequency (%)
745
90.2%
, 37
 
4.5%
' 19
 
2.3%
6
 
0.7%
" 4
 
0.5%
- 4
 
0.5%
2 4
 
0.5%
0 2
 
0.2%
& 2
 
0.2%
: 1
 
0.1%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7142
> 99.9%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
745
 
10.4%
e 514
 
7.2%
t 436
 
6.1%
E 424
 
5.9%
n 407
 
5.7%
i 406
 
5.7%
T 341
 
4.8%
s 339
 
4.7%
U 331
 
4.6%
R 327
 
4.6%
Other values (49) 2872
40.2%
None
ValueCountFrequency (%)
é 3
100.0%

Equities/Stocks (y/n)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
TRUE
269 
FALSE
175 
False
 
8
True
 
3
Equities
 
1
Other values (5)
 
5

Length

Max length667
Median length4
Mean length7.7353579
Min length4

Characters and Unicode

Total characters3566
Distinct characters49
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)1.3%

Sample

1st rowTRUE
2nd rowFALSE
3rd rowFALSE
4th rowTRUE
5th rowTRUE

Common Values

ValueCountFrequency (%)
TRUE 269
58.4%
FALSE 175
38.0%
False 8
 
1.7%
True 3
 
0.7%
Equities 1
 
0.2%
Unclear 1
 
0.2%
Stichting Pensioenfonds Gasunie is a pension fund, and like many pension funds, it typically invests in a diversified portfolio which may include equities or stocks among other types of investments to maintain the fund's goals of growth and income Given the nature of the question and the context provided, without a specific and current portfolio disclosure from Stichting Pensioenfonds Gasunie itself, one cannot definitively state their investment activities However, based on common pension fund practices, it is likely that they do invest in equities or stocks To comply with the one-word answer request, while acknowledging the limitations of certainty: TRUE 1
 
0.2%
Sorry, I can not provide information on whether the Stichting Pensioenfonds Atos invests in equities or stocks, as it requires current data on the investment activities of this specific company My capabilities are based on general knowledge up until 2023, and I do not have access to up-to-date individual company investment strategies Please consult the latest financial reports or contact the company directly for such specific information 1
 
0.2%
Sorry, but I cannot provide a true or false answer, as there is insufficient publicly available information about the specific investments of Nokia Corporate Pension in Belgium Investing in equities or stocks is a common practice for pension funds to ensure growth and meet their future obligations, but without specific data on Nokia's pension fund in Belgium, it is not possible to confirm their investment choices 1
 
0.2%
insufficient information 1
 
0.2%

Length

2024-02-09T18:27:23.008617image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-09T18:27:23.224545image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
ValueCountFrequency (%)
true 274
39.6%
false 184
26.6%
the 11
 
1.6%
and 6
 
0.9%
of 6
 
0.9%
or 6
 
0.9%
in 6
 
0.9%
pension 6
 
0.9%
to 5
 
0.7%
on 5
 
0.7%
Other values (119) 183
26.4%

Most occurring characters

ValueCountFrequency (%)
E 446
 
12.5%
T 274
 
7.7%
U 271
 
7.6%
R 270
 
7.6%
228
 
6.4%
F 183
 
5.1%
S 180
 
5.0%
A 176
 
4.9%
L 175
 
4.9%
e 147
 
4.1%
Other values (39) 1216
34.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1994
55.9%
Lowercase Letter 1314
36.8%
Space Separator 228
 
6.4%
Other Punctuation 17
 
0.5%
Control 6
 
0.2%
Decimal Number 4
 
0.1%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 147
11.2%
i 143
10.9%
t 128
9.7%
n 124
 
9.4%
o 108
 
8.2%
s 103
 
7.8%
a 82
 
6.2%
r 63
 
4.8%
c 58
 
4.4%
u 44
 
3.3%
Other values (14) 314
23.9%
Uppercase Letter
ValueCountFrequency (%)
E 446
22.4%
T 274
13.7%
U 271
13.6%
R 270
13.5%
F 183
9.2%
S 180
9.0%
A 176
 
8.8%
L 175
 
8.8%
P 5
 
0.3%
I 4
 
0.2%
Other values (6) 10
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 14
82.4%
' 2
 
11.8%
: 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
0 1
25.0%
3 1
25.0%
Space Separator
ValueCountFrequency (%)
228
100.0%
Control
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3308
92.8%
Common 258
 
7.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 446
13.5%
T 274
 
8.3%
U 271
 
8.2%
R 270
 
8.2%
F 183
 
5.5%
S 180
 
5.4%
A 176
 
5.3%
L 175
 
5.3%
e 147
 
4.4%
i 143
 
4.3%
Other values (30) 1043
31.5%
Common
ValueCountFrequency (%)
228
88.4%
, 14
 
5.4%
6
 
2.3%
- 3
 
1.2%
' 2
 
0.8%
2 2
 
0.8%
: 1
 
0.4%
0 1
 
0.4%
3 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3566
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 446
 
12.5%
T 274
 
7.7%
U 271
 
7.6%
R 270
 
7.6%
228
 
6.4%
F 183
 
5.1%
S 180
 
5.0%
A 176
 
4.9%
L 175
 
4.9%
e 147
 
4.1%
Other values (39) 1216
34.1%

Loans (y/n)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct11
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
TRUE
208 
FALSE
195 
False
49 
True
 
2
I'm sorry, but I don't have current or specific information to confirm whether Pensioenfonds Openbare Bibliotheken invests in loans with just a "TRUE" or "FALSE" without further context or research Investment strategies for pension funds can be quite diverse and subject to change
 
1
Other values (6)
 
6

Length

Max length472
Median length5
Mean length7.7223427
Min length4

Characters and Unicode

Total characters3560
Distinct characters55
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)1.5%

Sample

1st rowTRUE
2nd rowTRUE
3rd rowFALSE
4th rowTRUE
5th rowFALSE

Common Values

ValueCountFrequency (%)
TRUE 208
45.1%
FALSE 195
42.3%
False 49
 
10.6%
True 2
 
0.4%
I'm sorry, but I don't have current or specific information to confirm whether Pensioenfonds Openbare Bibliotheken invests in loans with just a "TRUE" or "FALSE" without further context or research Investment strategies for pension funds can be quite diverse and subject to change 1
 
0.2%
I cannot provide a current and definitive answer with "TRUE" or "FALSE" because as of my last update, specific investment details for TKP Pensioen BV (TKP) can vary and require up-to-date analysis You should contact TKP directly or consult recent financial disclosures for accurate information 1
 
0.2%
I do not have information on specific current investment portfolios for every organization, including Stichting Shell Pensioenfonds (SSPF) You would need to consult the latest financial reports or official statements from SSPF to get an accurate answer regarding their investment in loans 1
 
0.2%
It is not feasible for me to provide an accurate one-word answer to whether Nokia Corporate Pension (Belgium) invests in loans, as the investment strategy and portfolio details of specific pension funds can vary and are not part of publicly available knowledge as of my last update in 2023 For the most accurate and up-to-date information, it would be necessary to consult Nokia Corporate Pension (Belgium) directly or access their investment policy documents if available 1
 
0.2%
Insufficient data 1
 
0.2%
Unclear 1
 
0.2%

Length

2024-02-09T18:27:23.550952image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
false 247
36.2%
true 213
31.2%
to 8
 
1.2%
or 8
 
1.2%
investment 7
 
1.0%
for 7
 
1.0%
and 6
 
0.9%
current 4
 
0.6%
accurate 4
 
0.6%
specific 4
 
0.6%
Other values (110) 175
25.6%

Most occurring characters

ValueCountFrequency (%)
E 409
 
11.5%
F 250
 
7.0%
222
 
6.2%
T 216
 
6.1%
U 213
 
6.0%
R 211
 
5.9%
S 204
 
5.7%
A 198
 
5.6%
L 198
 
5.6%
e 181
 
5.1%
Other values (45) 1258
35.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1937
54.4%
Lowercase Letter 1364
38.3%
Space Separator 222
 
6.2%
Other Punctuation 17
 
0.5%
Dash Punctuation 6
 
0.2%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Decimal Number 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 181
13.3%
a 139
10.2%
s 125
9.2%
n 112
8.2%
t 111
8.1%
o 104
 
7.6%
i 93
 
6.8%
l 90
 
6.6%
r 85
 
6.2%
c 55
 
4.0%
Other values (16) 269
19.7%
Uppercase Letter
ValueCountFrequency (%)
E 409
21.1%
F 250
12.9%
T 216
11.2%
U 213
11.0%
R 211
10.9%
S 204
10.5%
A 198
10.2%
L 198
10.2%
P 12
 
0.6%
I 7
 
0.4%
Other values (8) 19
 
1.0%
Other Punctuation
ValueCountFrequency (%)
" 8
47.1%
, 5
29.4%
' 2
 
11.8%
& 2
 
11.8%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
0 1
25.0%
3 1
25.0%
Space Separator
ValueCountFrequency (%)
222
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3301
92.7%
Common 259
 
7.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 409
 
12.4%
F 250
 
7.6%
T 216
 
6.5%
U 213
 
6.5%
R 211
 
6.4%
S 204
 
6.2%
A 198
 
6.0%
L 198
 
6.0%
e 181
 
5.5%
a 139
 
4.2%
Other values (34) 1082
32.8%
Common
ValueCountFrequency (%)
222
85.7%
" 8
 
3.1%
- 6
 
2.3%
, 5
 
1.9%
) 5
 
1.9%
( 5
 
1.9%
2 2
 
0.8%
' 2
 
0.8%
& 2
 
0.8%
0 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 409
 
11.5%
F 250
 
7.0%
222
 
6.2%
T 216
 
6.1%
U 213
 
6.0%
R 211
 
5.9%
S 204
 
5.7%
A 198
 
5.6%
L 198
 
5.6%
e 181
 
5.1%
Other values (45) 1258
35.3%

Real Estate (y/n)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
TRUE
259 
FALSE
184 
False
 
15
Unable to provide a current and definitive answer with a "TRUE" or "FALSE" without updated information My training data does not include specific and current investment strategies for Stichting Mediahuis Nederland Pensioenfonds (Mhpf)
 
1
Pensioenfonds Vervoer, being a transport sector pension fund based in the Netherlands, has various investments to spread out its risk and ensure returns for its members Pension funds commonly invest in various asset classes including stocks, bonds, and real estate Therefore, without specific current information about Pensioenfonds Vervoer's exact portfolio at the time of your question, it is generally reasonable to suggest that they might invest in real estate as part of their investment diversification strategy TRUE
 
1

Length

Max length523
Median length4
Mean length6.0563991
Min length4

Characters and Unicode

Total characters2792
Distinct characters43
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.7%

Sample

1st rowFALSE
2nd rowTRUE
3rd rowFALSE
4th rowFALSE
5th rowTRUE

Common Values

ValueCountFrequency (%)
TRUE 259
56.2%
FALSE 184
39.9%
False 15
 
3.3%
Unable to provide a current and definitive answer with a "TRUE" or "FALSE" without updated information My training data does not include specific and current investment strategies for Stichting Mediahuis Nederland Pensioenfonds (Mhpf) 1
 
0.2%
Pensioenfonds Vervoer, being a transport sector pension fund based in the Netherlands, has various investments to spread out its risk and ensure returns for its members Pension funds commonly invest in various asset classes including stocks, bonds, and real estate Therefore, without specific current information about Pensioenfonds Vervoer's exact portfolio at the time of your question, it is generally reasonable to suggest that they might invest in real estate as part of their investment diversification strategy TRUE 1
 
0.2%
True 1
 
0.2%

Length

2024-02-09T18:27:23.674249image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-09T18:27:23.838959image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
ValueCountFrequency (%)
true 262
46.0%
false 200
35.1%
and 4
 
0.7%
to 3
 
0.5%
pensioenfonds 3
 
0.5%
a 3
 
0.5%
current 3
 
0.5%
in 3
 
0.5%
for 2
 
0.4%
pension 2
 
0.4%
Other values (73) 84
 
14.8%

Most occurring characters

ValueCountFrequency (%)
E 446
16.0%
T 263
9.4%
U 262
9.4%
R 261
9.3%
F 200
 
7.2%
S 186
 
6.7%
A 185
 
6.6%
L 185
 
6.6%
107
 
3.8%
e 90
 
3.2%
Other values (33) 607
21.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1999
71.6%
Lowercase Letter 671
 
24.0%
Space Separator 107
 
3.8%
Other Punctuation 11
 
0.4%
Control 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 90
13.4%
s 70
10.4%
t 63
9.4%
n 59
8.8%
a 57
8.5%
i 55
8.2%
r 45
 
6.7%
o 45
 
6.7%
l 28
 
4.2%
d 25
 
3.7%
Other values (14) 134
20.0%
Uppercase Letter
ValueCountFrequency (%)
E 446
22.3%
T 263
13.2%
U 262
13.1%
R 261
13.1%
F 200
10.0%
S 186
9.3%
A 185
9.3%
L 185
9.3%
P 4
 
0.2%
M 3
 
0.2%
Other values (2) 4
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 6
54.5%
" 4
36.4%
' 1
 
9.1%
Space Separator
ValueCountFrequency (%)
107
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2670
95.6%
Common 122
 
4.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 446
16.7%
T 263
9.9%
U 262
9.8%
R 261
9.8%
F 200
 
7.5%
S 186
 
7.0%
A 185
 
6.9%
L 185
 
6.9%
e 90
 
3.4%
s 70
 
2.6%
Other values (26) 522
19.6%
Common
ValueCountFrequency (%)
107
87.7%
, 6
 
4.9%
" 4
 
3.3%
2
 
1.6%
( 1
 
0.8%
) 1
 
0.8%
' 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2792
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 446
16.0%
T 263
9.4%
U 262
9.4%
R 261
9.3%
F 200
 
7.2%
S 186
 
6.7%
A 185
 
6.6%
L 185
 
6.6%
107
 
3.8%
e 90
 
3.2%
Other values (33) 607
21.7%

Direct Real Estate (y/n)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct14
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
TRUE
274 
FALSE
157 
False
 
18
True
 
2
Unable to provide a current factual answer as my knowledge is limited up to 2023 and I don't have access to real-time databases or the internet to check the latest investment activities of specific pension funds For the most accurate and up-to-date information, please consult the latest financial reports or investment portfolio details of Stichting Mediahuis Nederland Pensioenfonds (MHpf)
 
1
Other values (9)
 
9

Length

Max length429
Median length4
Mean length9.010846
Min length4

Characters and Unicode

Total characters4154
Distinct characters55
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)2.2%

Sample

1st rowTRUE
2nd rowTRUE
3rd rowFALSE
4th rowTRUE
5th rowFALSE

Common Values

ValueCountFrequency (%)
TRUE 274
59.4%
FALSE 157
34.1%
False 18
 
3.9%
True 2
 
0.4%
Unable to provide a current factual answer as my knowledge is limited up to 2023 and I don't have access to real-time databases or the internet to check the latest investment activities of specific pension funds For the most accurate and up-to-date information, please consult the latest financial reports or investment portfolio details of Stichting Mediahuis Nederland Pensioenfonds (MHpf) 1
 
0.2%
Probably not 1
 
0.2%
I don't have current information on the specific investment strategies for Stichting Pensioenfonds voor Huisartsen (SPH), so I cannot provide a true or false statement Please consult the latest financial reports or official statements from SPH for accurate information 1
 
0.2%
Unable to provide a current status 1
 
0.2%
It's not possible to provide a one-word TRUE or FALSE answer without more context, as pension funds like SBZ often have diverse investment portfolios that can include a variety of assets, including direct real estate investments Detailed and current information about their investment strategies would be required to provide an accurate answer 1
 
0.2%
I cannot provide a real-time determination of whether Crédit Agricole Life Insurance Europe specifically invests in direct real estate without up-to-date information Policies and investment strategies of financial companies can change, and specific details about their investments are not always publicly disclosed Please consult the company's official financial reports or contact them directly for the most accurate information 1
 
0.2%
Other values (4) 4
 
0.9%

Length

2024-02-09T18:27:24.080441image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
true 280
36.3%
false 179
23.2%
to 12
 
1.6%
or 12
 
1.6%
information 11
 
1.4%
the 10
 
1.3%
provide 9
 
1.2%
a 8
 
1.0%
investment 8
 
1.0%
and 8
 
1.0%
Other values (129) 235
30.4%

Most occurring characters

ValueCountFrequency (%)
E 438
 
10.5%
311
 
7.5%
T 279
 
6.7%
U 279
 
6.7%
R 276
 
6.6%
e 228
 
5.5%
t 188
 
4.5%
F 181
 
4.4%
S 166
 
4.0%
A 163
 
3.9%
Other values (45) 1645
39.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1985
47.8%
Lowercase Letter 1824
43.9%
Space Separator 311
 
7.5%
Other Punctuation 15
 
0.4%
Dash Punctuation 11
 
0.3%
Decimal Number 4
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 228
12.5%
t 188
10.3%
a 156
8.6%
n 152
 
8.3%
i 145
 
7.9%
o 144
 
7.9%
s 140
 
7.7%
r 126
 
6.9%
c 82
 
4.5%
l 78
 
4.3%
Other values (16) 385
21.1%
Uppercase Letter
ValueCountFrequency (%)
E 438
22.1%
T 279
14.1%
U 279
14.1%
R 276
13.9%
F 181
9.1%
S 166
 
8.4%
A 163
 
8.2%
L 160
 
8.1%
P 12
 
0.6%
I 11
 
0.6%
Other values (10) 20
 
1.0%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
3 1
25.0%
0 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 8
53.3%
' 7
46.7%
Space Separator
ValueCountFrequency (%)
311
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3809
91.7%
Common 345
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 438
 
11.5%
T 279
 
7.3%
U 279
 
7.3%
R 276
 
7.2%
e 228
 
6.0%
t 188
 
4.9%
F 181
 
4.8%
S 166
 
4.4%
A 163
 
4.3%
L 160
 
4.2%
Other values (36) 1451
38.1%
Common
ValueCountFrequency (%)
311
90.1%
- 11
 
3.2%
, 8
 
2.3%
' 7
 
2.0%
2 2
 
0.6%
( 2
 
0.6%
) 2
 
0.6%
3 1
 
0.3%
0 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4153
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 438
 
10.5%
311
 
7.5%
T 279
 
6.7%
U 279
 
6.7%
R 276
 
6.6%
e 228
 
5.5%
t 188
 
4.5%
F 181
 
4.4%
S 166
 
4.0%
A 163
 
3.9%
Other values (44) 1644
39.6%
None
ValueCountFrequency (%)
é 1
100.0%

Real Estate Funds (y/n)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct28
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
TRUE
274 
FALSE
137 
False
 
23
True
 
3
I am unable to provide real-time or the very latest updates on specific company investment activities For the most current information on VITIS Life Luxembourg SA's investment in real estate funds, please consult the latest financial disclosures or company press releases
 
1
Other values (23)
 
23

Length

Max length578
Median length4
Mean length18.904555
Min length4

Characters and Unicode

Total characters8715
Distinct characters62
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)5.2%

Sample

1st rowTRUE
2nd rowTRUE
3rd rowTRUE
4th rowTRUE
5th rowTRUE

Common Values

ValueCountFrequency (%)
TRUE 274
59.4%
FALSE 137
29.7%
False 23
 
5.0%
True 3
 
0.7%
I am unable to provide real-time or the very latest updates on specific company investment activities For the most current information on VITIS Life Luxembourg SA's investment in real estate funds, please consult the latest financial disclosures or company press releases 1
 
0.2%
Unable to provide a current factual answer; my last update was in 2023 and I don't have real-time data or information specific to Pensioenfonds Werk en (re)Integratie (PWRI) and their investment strategies Please check the latest sources for accurate information 1
 
0.2%
Unable to determine 1
 
0.2%
Unfortunately, I am unable to confirm current investment strategies for specific companies or organizations, including Stichting Mediahuis Nederland Pensioenfonds (Mhpf), without access to up-to-date databases or financial reports Please consult the organization's financial disclosures or contact them directly for the most accurate information 1
 
0.2%
Apologies, but without specific and current information on the investment choices of Stichting Pensioenfonds Openbare Apothekers (SPOA), I cannot provide a true or false answer Investment portfolios can change and information may not be publicly disclosed or available up to the current date For the most accurate answer, please consult the latest reports or the official website of SPOA 1
 
0.2%
I am unable to provide a real-time or current status of specific company investment strategies such as Stap Algemeen Pensioenfonds investing in real estate funds without current and specific data Please consult the latest financial reports or official statements from the company for such information 1
 
0.2%
Other values (18) 18
 
3.9%

Length

2024-02-09T18:27:24.224507image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
true 285
 
19.5%
false 168
 
11.5%
the 52
 
3.6%
or 42
 
2.9%
to 36
 
2.5%
information 31
 
2.1%
investment 23
 
1.6%
specific 20
 
1.4%
i 20
 
1.4%
current 19
 
1.3%
Other values (221) 767
52.4%

Most occurring characters

ValueCountFrequency (%)
1002
 
11.5%
e 671
 
7.7%
t 557
 
6.4%
o 465
 
5.3%
n 462
 
5.3%
a 454
 
5.2%
i 431
 
4.9%
E 423
 
4.9%
s 394
 
4.5%
r 362
 
4.2%
Other values (52) 3494
40.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5533
63.5%
Uppercase Letter 2036
 
23.4%
Space Separator 1002
 
11.5%
Other Punctuation 62
 
0.7%
Decimal Number 36
 
0.4%
Dash Punctuation 34
 
0.4%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 671
12.1%
t 557
10.1%
o 465
 
8.4%
n 462
 
8.3%
a 454
 
8.2%
i 431
 
7.8%
s 394
 
7.1%
r 362
 
6.5%
c 257
 
4.6%
l 201
 
3.6%
Other values (16) 1279
23.1%
Uppercase Letter
ValueCountFrequency (%)
E 423
20.8%
T 290
14.2%
U 287
14.1%
R 282
13.9%
F 172
8.4%
A 156
 
7.7%
S 153
 
7.5%
L 146
 
7.2%
I 34
 
1.7%
P 33
 
1.6%
Other values (13) 60
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 34
54.8%
' 22
35.5%
& 2
 
3.2%
" 2
 
3.2%
; 2
 
3.2%
Decimal Number
ValueCountFrequency (%)
2 18
50.0%
0 9
25.0%
3 8
22.2%
1 1
 
2.8%
Space Separator
ValueCountFrequency (%)
1002
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7569
86.9%
Common 1146
 
13.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 671
 
8.9%
t 557
 
7.4%
o 465
 
6.1%
n 462
 
6.1%
a 454
 
6.0%
i 431
 
5.7%
E 423
 
5.6%
s 394
 
5.2%
r 362
 
4.8%
T 290
 
3.8%
Other values (39) 3060
40.4%
Common
ValueCountFrequency (%)
1002
87.4%
- 34
 
3.0%
, 34
 
3.0%
' 22
 
1.9%
2 18
 
1.6%
0 9
 
0.8%
3 8
 
0.7%
) 6
 
0.5%
( 6
 
0.5%
& 2
 
0.2%
Other values (3) 5
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8715
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1002
 
11.5%
e 671
 
7.7%
t 557
 
6.4%
o 465
 
5.3%
n 462
 
5.3%
a 454
 
5.2%
i 431
 
4.9%
E 423
 
4.9%
s 394
 
4.5%
r 362
 
4.2%
Other values (52) 3494
40.1%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
296 
True
165 
ValueCountFrequency (%)
False 296
64.2%
True 165
35.8%
2024-02-09T18:27:24.369943image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Close-ended RE Funds (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
233 
True
228 
ValueCountFrequency (%)
False 233
50.5%
True 228
49.5%
2024-02-09T18:27:24.477964image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
279 
True
182 
ValueCountFrequency (%)
False 279
60.5%
True 182
39.5%
2024-02-09T18:27:24.591609image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
231 
True
230 
ValueCountFrequency (%)
False 231
50.1%
True 230
49.9%
2024-02-09T18:27:24.705156image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Unlisted RE Funds (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
318 
False
143 
ValueCountFrequency (%)
True 318
69.0%
False 143
31.0%
2024-02-09T18:27:24.817314image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
244 
False
217 
ValueCountFrequency (%)
True 244
52.9%
False 217
47.1%
2024-02-09T18:27:24.918636image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
250 
False
211 
ValueCountFrequency (%)
True 250
54.2%
False 211
45.8%
2024-02-09T18:27:25.205061image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
358 
True
103 
ValueCountFrequency (%)
False 358
77.7%
True 103
 
22.3%
2024-02-09T18:27:25.310454image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
242 
True
219 
ValueCountFrequency (%)
False 242
52.5%
True 219
47.5%
2024-02-09T18:27:25.419285image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Logistics (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
242 
False
219 
ValueCountFrequency (%)
True 242
52.5%
False 219
47.5%
2024-02-09T18:27:25.521724image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
334 
True
127 
ValueCountFrequency (%)
False 334
72.5%
True 127
 
27.5%
2024-02-09T18:27:25.626777image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
379 
True
82 
ValueCountFrequency (%)
False 379
82.2%
True 82
 
17.8%
2024-02-09T18:27:25.768237image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
328 
True
133 
ValueCountFrequency (%)
False 328
71.1%
True 133
28.9%
2024-02-09T18:27:25.912511image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
278 
True
183 
ValueCountFrequency (%)
False 278
60.3%
True 183
39.7%
2024-02-09T18:27:26.009290image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Accomodation/Assisted Living (y/n)
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
FALSE
287 
TRUE
169 
Both
 
1
Assisted living
 
1
Accommodation - FALSE Assisted living - TRUE
 
1
Other values (2)
 
2

Length

Max length44
Median length5
Mean length4.8980477
Min length4

Characters and Unicode

Total characters2258
Distinct characters27
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)1.1%

Sample

1st rowFALSE
2nd rowFALSE
3rd rowFALSE
4th rowTRUE
5th rowFALSE

Common Values

ValueCountFrequency (%)
FALSE 287
62.3%
TRUE 169
36.7%
Both 1
 
0.2%
Assisted living 1
 
0.2%
Accommodation - FALSE Assisted living - TRUE 1
 
0.2%
Accommodation: TRUE Assisted living: FALSE 1
 
0.2%
Accommodation: FALSE Assisted living: TRUE 1
 
0.2%

Length

2024-02-09T18:27:26.121678image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-09T18:27:26.274826image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
ValueCountFrequency (%)
false 290
60.9%
true 172
36.1%
assisted 4
 
0.8%
living 4
 
0.8%
accommodation 3
 
0.6%
2
 
0.4%
both 1
 
0.2%

Most occurring characters

ValueCountFrequency (%)
E 462
20.5%
A 297
13.2%
F 290
12.8%
L 290
12.8%
S 290
12.8%
T 172
 
7.6%
R 172
 
7.6%
U 172
 
7.6%
i 15
 
0.7%
s 12
 
0.5%
Other values (17) 86
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2146
95.0%
Lowercase Letter 91
 
4.0%
Space Separator 12
 
0.5%
Other Punctuation 4
 
0.2%
Control 3
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 15
16.5%
s 12
13.2%
o 10
11.0%
t 8
8.8%
d 7
7.7%
n 7
7.7%
m 6
 
6.6%
c 6
 
6.6%
g 4
 
4.4%
v 4
 
4.4%
Other values (4) 12
13.2%
Uppercase Letter
ValueCountFrequency (%)
E 462
21.5%
A 297
13.8%
F 290
13.5%
L 290
13.5%
S 290
13.5%
T 172
 
8.0%
R 172
 
8.0%
U 172
 
8.0%
B 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
: 4
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2237
99.1%
Common 21
 
0.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 462
20.7%
A 297
13.3%
F 290
13.0%
L 290
13.0%
S 290
13.0%
T 172
 
7.7%
R 172
 
7.7%
U 172
 
7.7%
i 15
 
0.7%
s 12
 
0.5%
Other values (13) 65
 
2.9%
Common
ValueCountFrequency (%)
12
57.1%
: 4
 
19.0%
3
 
14.3%
- 2
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2258
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 462
20.5%
A 297
13.2%
F 290
12.8%
L 290
12.8%
S 290
12.8%
T 172
 
7.6%
R 172
 
7.6%
U 172
 
7.6%
i 15
 
0.7%
s 12
 
0.5%
Other values (17) 86
 
3.8%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
288 
True
173 
ValueCountFrequency (%)
False 288
62.5%
True 173
37.5%
2024-02-09T18:27:26.437866image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
244 
False
217 
ValueCountFrequency (%)
True 244
52.9%
False 217
47.1%
2024-02-09T18:27:26.547942image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Core+ RE (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
263 
True
198 
ValueCountFrequency (%)
False 263
57.0%
True 198
43.0%
2024-02-09T18:27:26.671798image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
381 
True
80 
ValueCountFrequency (%)
False 381
82.6%
True 80
 
17.4%
2024-02-09T18:27:26.789862image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Opportunistic RE (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
237 
False
224 
ValueCountFrequency (%)
True 237
51.4%
False 224
48.6%
2024-02-09T18:27:26.908285image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Value added RE (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
262 
False
199 
ValueCountFrequency (%)
True 262
56.8%
False 199
43.2%
2024-02-09T18:27:27.007244image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
318 
True
143 
ValueCountFrequency (%)
False 318
69.0%
True 143
31.0%
2024-02-09T18:27:27.130352image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Private Equity (y/n)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct21
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
TRUE
263 
FALSE
152 
False
 
23
True
 
5
Insufficient information
 
2
Other values (16)
 
16

Length

Max length523
Median length4
Mean length14.969631
Min length4

Characters and Unicode

Total characters6901
Distinct characters57
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)3.5%

Sample

1st rowTRUE
2nd rowTRUE
3rd rowTRUE
4th rowTRUE
5th rowTRUE

Common Values

ValueCountFrequency (%)
TRUE 263
57.0%
FALSE 152
33.0%
False 23
 
5.0%
True 5
 
1.1%
Insufficient information 2
 
0.4%
Sorry, but I am unable to provide current and definitive information on specific investment activities of any company such as Achmea BV, especially without verification from up-to-date sources My design is to offer accurate information, and details about a company's investment strategies may change over time and would require research beyond my current capabilities 1
 
0.2%
I do not have specific information on the investment activities of Pensioenfonds Openbare Bibliotheken 1
 
0.2%
I apologize for any confusion, but my abilities are currently limited to providing information and context I do not have access to specific investment details for entities such as Stichting Mediahuis Nederland Pensioenfonds (Mhpf) without conducting the necessary research If you're looking for the current investment strategies of Mhpf, I suggest directly consulting their official resources or disclosures, which might include their website, annual reports, or financial statements for accurate and up-to-date information 1
 
0.2%
I'm unable to provide real-time or the most up-to-date information on specific investment strategies for Stichting Pensioenfonds Medewerkers Apotheken (PMA) or any other entity as my training data includes knowledge only up until September 2021, and I do not have browsing capabilities to check current data You would need to consult the latest financial reports or official statements from PMA for such specific information 1
 
0.2%
Unable to provide current investment information for specific companies without access to relevant and updated data beyond my knowledge cutoff date Please refer to the latest financial reports or the official SPOA website for accurate information 1
 
0.2%
Other values (11) 11
 
2.4%

Length

2024-02-09T18:27:27.242688image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
true 272
23.1%
false 179
 
15.2%
information 26
 
2.2%
the 22
 
1.9%
or 21
 
1.8%
to 21
 
1.8%
investment 19
 
1.6%
i 19
 
1.6%
for 18
 
1.5%
specific 16
 
1.4%
Other values (195) 562
47.8%

Most occurring characters

ValueCountFrequency (%)
714
 
10.3%
e 476
 
6.9%
E 420
 
6.1%
t 396
 
5.7%
i 371
 
5.4%
n 332
 
4.8%
o 326
 
4.7%
a 312
 
4.5%
s 281
 
4.1%
T 273
 
4.0%
Other values (47) 3000
43.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4070
59.0%
Uppercase Letter 2016
29.2%
Space Separator 714
 
10.3%
Other Punctuation 50
 
0.7%
Decimal Number 28
 
0.4%
Dash Punctuation 17
 
0.2%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 476
11.7%
t 396
9.7%
i 371
 
9.1%
n 332
 
8.2%
o 326
 
8.0%
a 312
 
7.7%
s 281
 
6.9%
r 261
 
6.4%
c 196
 
4.8%
l 144
 
3.5%
Other values (15) 975
24.0%
Uppercase Letter
ValueCountFrequency (%)
E 420
20.8%
T 273
13.5%
U 271
13.4%
R 267
13.2%
F 185
9.2%
A 171
8.5%
S 169
8.4%
L 161
 
8.0%
I 32
 
1.6%
P 19
 
0.9%
Other values (11) 48
 
2.4%
Decimal Number
ValueCountFrequency (%)
2 14
50.0%
0 7
25.0%
1 4
 
14.3%
3 3
 
10.7%
Other Punctuation
ValueCountFrequency (%)
, 30
60.0%
' 16
32.0%
" 4
 
8.0%
Space Separator
ValueCountFrequency (%)
714
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6086
88.2%
Common 815
 
11.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 476
 
7.8%
E 420
 
6.9%
t 396
 
6.5%
i 371
 
6.1%
n 332
 
5.5%
o 326
 
5.4%
a 312
 
5.1%
s 281
 
4.6%
T 273
 
4.5%
U 271
 
4.5%
Other values (36) 2628
43.2%
Common
ValueCountFrequency (%)
714
87.6%
, 30
 
3.7%
- 17
 
2.1%
' 16
 
2.0%
2 14
 
1.7%
0 7
 
0.9%
1 4
 
0.5%
" 4
 
0.5%
) 3
 
0.4%
( 3
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6901
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
714
 
10.3%
e 476
 
6.9%
E 420
 
6.1%
t 396
 
5.7%
i 371
 
5.4%
n 332
 
4.8%
o 326
 
4.7%
a 312
 
4.5%
s 281
 
4.1%
T 273
 
4.0%
Other values (47) 3000
43.5%

Direct PE (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
254 
False
207 
ValueCountFrequency (%)
True 254
55.1%
False 207
44.9%
2024-02-09T18:27:27.378628image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Indirect PE (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
340 
False
121 
ValueCountFrequency (%)
True 340
73.8%
False 121
 
26.2%
2024-02-09T18:27:27.485942image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
251 
True
210 
ValueCountFrequency (%)
False 251
54.4%
True 210
45.6%
2024-02-09T18:27:27.593664image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
286 
True
175 
ValueCountFrequency (%)
False 286
62.0%
True 175
38.0%
2024-02-09T18:27:27.718849image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
327 
True
134 
ValueCountFrequency (%)
False 327
70.9%
True 134
29.1%
2024-02-09T18:27:27.817777image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
273 
True
188 
ValueCountFrequency (%)
False 273
59.2%
True 188
40.8%
2024-02-09T18:27:27.936439image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Special Situations/Distressed (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
262 
False
199 
ValueCountFrequency (%)
True 262
56.8%
False 199
43.2%
2024-02-09T18:27:28.055682image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Artificial Intelligence (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
283 
True
178 
ValueCountFrequency (%)
False 283
61.4%
True 178
38.6%
2024-02-09T18:27:28.160923image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Blockchain (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
277 
True
184 
ValueCountFrequency (%)
False 277
60.1%
True 184
39.9%
2024-02-09T18:27:28.269121image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Crypto (y/n)
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
415 
True
46 
ValueCountFrequency (%)
False 415
90.0%
True 46
 
10.0%
2024-02-09T18:27:28.381730image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
395 
True
66 
ValueCountFrequency (%)
False 395
85.7%
True 66
 
14.3%
2024-02-09T18:27:28.490025image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Finance (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
232 
False
229 
ValueCountFrequency (%)
True 232
50.3%
False 229
49.7%
2024-02-09T18:27:28.592301image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Fintech (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
269 
False
192 
ValueCountFrequency (%)
True 269
58.4%
False 192
41.6%
2024-02-09T18:27:28.704970image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
250 
True
211 
ValueCountFrequency (%)
False 250
54.2%
True 211
45.8%
2024-02-09T18:27:28.818600image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
339 
True
122 
ValueCountFrequency (%)
False 339
73.5%
True 122
 
26.5%
2024-02-09T18:27:28.916428image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

IT (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
249 
False
212 
ValueCountFrequency (%)
True 249
54.0%
False 212
46.0%
2024-02-09T18:27:29.028167image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
373 
True
88 
ValueCountFrequency (%)
False 373
80.9%
True 88
 
19.1%
2024-02-09T18:27:29.124610image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Software (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
245 
False
216 
ValueCountFrequency (%)
True 245
53.1%
False 216
46.9%
2024-02-09T18:27:29.226430image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

FMCG (y/n)
Boolean

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
342 
True
119 
ValueCountFrequency (%)
False 342
74.2%
True 119
 
25.8%
2024-02-09T18:27:29.335707image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Food/Nutrition (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
284 
True
177 
ValueCountFrequency (%)
False 284
61.6%
True 177
38.4%
2024-02-09T18:27:29.437925image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
313 
True
148 
ValueCountFrequency (%)
False 313
67.9%
True 148
32.1%
2024-02-09T18:27:29.534680image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

eCommerce (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
244 
True
217 
ValueCountFrequency (%)
False 244
52.9%
True 217
47.1%
2024-02-09T18:27:29.622002image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Heavy Engineering (y/n)
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
419 
True
42 
ValueCountFrequency (%)
False 419
90.9%
True 42
 
9.1%
2024-02-09T18:27:29.725354image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
374 
True
87 
ValueCountFrequency (%)
False 374
81.1%
True 87
 
18.9%
2024-02-09T18:27:29.826367image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
391 
True
70 
ValueCountFrequency (%)
False 391
84.8%
True 70
 
15.2%
2024-02-09T18:27:29.948070image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
288 
True
173 
ValueCountFrequency (%)
False 288
62.5%
True 173
37.5%
2024-02-09T18:27:30.042978image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
318 
True
143 
ValueCountFrequency (%)
False 318
69.0%
True 143
31.0%
2024-02-09T18:27:30.138966image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
331 
True
130 
ValueCountFrequency (%)
False 331
71.8%
True 130
 
28.2%
2024-02-09T18:27:30.235484image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
251 
True
210 
ValueCountFrequency (%)
False 251
54.4%
True 210
45.6%
2024-02-09T18:27:30.567631image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

PE Co-Investment
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
290 
False
171 
ValueCountFrequency (%)
True 290
62.9%
False 171
37.1%
2024-02-09T18:27:30.676977image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Private Debt (y/n)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct39
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
TRUE
255 
FALSE
136 
False
32 
Insufficient information
 
2
True
 
2
Other values (34)
34 

Length

Max length625
Median length4
Mean length26.312364
Min length4

Characters and Unicode

Total characters12130
Distinct characters61
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)7.4%

Sample

1st rowTRUE
2nd rowTRUE
3rd rowTRUE
4th rowTRUE
5th rowTRUE

Common Values

ValueCountFrequency (%)
TRUE 255
55.3%
FALSE 136
29.5%
False 32
 
6.9%
Insufficient information 2
 
0.4%
True 2
 
0.4%
Insufficient data 1
 
0.2%
I do not have access to specific investment information for Stichting Bedrijfstakpensioenfonds Waterbouw's portfolio Therefore, without current information, I cannot provide a true or false response to whether they invest in private debt 1
 
0.2%
I do not have access to real-time data or information about specific investment practices of Stichting Pensioenfonds Vopak It would require access to the latest and specific financial disclosures made by the company to provide an accurate answer 1
 
0.2%
I am sorry, but without up-to-date information on TKP Pensioen BV (TKP) specific investment activities, I cannot provide a true or false answer to whether the company invests in private debt 1
 
0.2%
I cannot provide a current and definite TRUE or FALSE answer without the latest data My training data only goes up until 2023 and does not provide real-time information about specific investment strategies of Stichting Pensioenfonds Wolters Kluwer Nederland (SPWKN) You may need to consult the latest financial reports or official statements from SPWKN for such specific information 1
 
0.2%
Other values (29) 29
 
6.3%

Length

2024-02-09T18:27:30.828198image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
true 269
 
13.6%
false 180
 
9.1%
the 62
 
3.1%
to 57
 
2.9%
or 53
 
2.7%
information 47
 
2.4%
investment 42
 
2.1%
specific 37
 
1.9%
i 34
 
1.7%
for 33
 
1.7%
Other values (268) 1163
58.8%

Most occurring characters

ValueCountFrequency (%)
1515
 
12.5%
e 959
 
7.9%
t 856
 
7.1%
n 735
 
6.1%
o 709
 
5.8%
i 702
 
5.8%
a 635
 
5.2%
s 561
 
4.6%
r 543
 
4.5%
c 409
 
3.4%
Other values (51) 4506
37.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8331
68.7%
Uppercase Letter 2081
 
17.2%
Space Separator 1515
 
12.5%
Other Punctuation 92
 
0.8%
Decimal Number 60
 
0.5%
Dash Punctuation 39
 
0.3%
Control 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 959
11.5%
t 856
10.3%
n 735
 
8.8%
o 709
 
8.5%
i 702
 
8.4%
a 635
 
7.6%
s 561
 
6.7%
r 543
 
6.5%
c 409
 
4.9%
d 278
 
3.3%
Other values (16) 1944
23.3%
Uppercase Letter
ValueCountFrequency (%)
E 409
19.7%
T 275
13.2%
U 265
12.7%
R 264
12.7%
F 184
8.8%
S 165
7.9%
A 160
 
7.7%
L 151
 
7.3%
I 67
 
3.2%
P 44
 
2.1%
Other values (12) 97
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 49
53.3%
' 37
40.2%
& 4
 
4.3%
" 2
 
2.2%
Decimal Number
ValueCountFrequency (%)
2 30
50.0%
0 15
25.0%
3 13
21.7%
1 2
 
3.3%
Space Separator
ValueCountFrequency (%)
1515
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10412
85.8%
Common 1718
 
14.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 959
 
9.2%
t 856
 
8.2%
n 735
 
7.1%
o 709
 
6.8%
i 702
 
6.7%
a 635
 
6.1%
s 561
 
5.4%
r 543
 
5.2%
c 409
 
3.9%
E 409
 
3.9%
Other values (38) 3894
37.4%
Common
ValueCountFrequency (%)
1515
88.2%
, 49
 
2.9%
- 39
 
2.3%
' 37
 
2.2%
2 30
 
1.7%
0 15
 
0.9%
3 13
 
0.8%
4
 
0.2%
& 4
 
0.2%
) 4
 
0.2%
Other values (3) 8
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12130
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1515
 
12.5%
e 959
 
7.9%
t 856
 
7.1%
n 735
 
6.1%
o 709
 
5.8%
i 702
 
5.8%
a 635
 
5.2%
s 561
 
4.6%
r 543
 
4.5%
c 409
 
3.4%
Other values (51) 4506
37.1%

Junior PD (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
243 
False
218 
ValueCountFrequency (%)
True 243
52.7%
False 218
47.3%
2024-02-09T18:27:30.968446image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Senior PD (y/n)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
TRUE
286 
FALSE
174 
FALSE
 
1

Length

Max length6
Median length4
Mean length4.3817787
Min length4

Characters and Unicode

Total characters2020
Distinct characters9
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st rowTRUE
2nd rowTRUE
3rd rowTRUE
4th rowTRUE
5th rowTRUE

Common Values

ValueCountFrequency (%)
TRUE 286
62.0%
FALSE 174
37.7%
FALSE 1
 
0.2%

Length

2024-02-09T18:27:31.083661image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-09T18:27:31.237229image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
ValueCountFrequency (%)
true 286
62.0%
false 175
38.0%

Most occurring characters

ValueCountFrequency (%)
E 461
22.8%
T 286
14.2%
R 286
14.2%
U 286
14.2%
F 175
 
8.7%
A 175
 
8.7%
L 175
 
8.7%
S 175
 
8.7%
1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2019
> 99.9%
Space Separator 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 461
22.8%
T 286
14.2%
R 286
14.2%
U 286
14.2%
F 175
 
8.7%
A 175
 
8.7%
L 175
 
8.7%
S 175
 
8.7%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2019
> 99.9%
Common 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 461
22.8%
T 286
14.2%
R 286
14.2%
U 286
14.2%
F 175
 
8.7%
A 175
 
8.7%
L 175
 
8.7%
S 175
 
8.7%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 461
22.8%
T 286
14.2%
R 286
14.2%
U 286
14.2%
F 175
 
8.7%
A 175
 
8.7%
L 175
 
8.7%
S 175
 
8.7%
1
 
< 0.1%

Mezzanine PD (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
233 
True
228 
ValueCountFrequency (%)
False 233
50.5%
True 228
49.5%
2024-02-09T18:27:31.363058image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
279 
True
182 
ValueCountFrequency (%)
False 279
60.5%
True 182
39.5%
2024-02-09T18:27:31.470296image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Opportunistic PD (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
233 
False
228 
ValueCountFrequency (%)
True 233
50.5%
False 228
49.5%
2024-02-09T18:27:31.568475image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Direct Lending (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
250 
False
211 
ValueCountFrequency (%)
True 250
54.2%
False 211
45.8%
2024-02-09T18:27:31.670342image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Direct Lending Fund (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
266 
False
195 
ValueCountFrequency (%)
True 266
57.7%
False 195
42.3%
2024-02-09T18:27:31.773170image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

PD Funds (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
242 
False
219 
ValueCountFrequency (%)
True 242
52.5%
False 219
47.5%
2024-02-09T18:27:31.886535image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
312 
True
149 
ValueCountFrequency (%)
False 312
67.7%
True 149
32.3%
2024-02-09T18:27:31.999626image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
328 
True
133 
ValueCountFrequency (%)
False 328
71.1%
True 133
28.9%
2024-02-09T18:27:32.102423image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Hedge Funds (y/n)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct36
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
TRUE
223 
FALSE
177 
False
 
21
Unknown
 
5
True
 
3
Other values (31)
32 

Length

Max length567
Median length491
Mean length20.832972
Min length4

Characters and Unicode

Total characters9604
Distinct characters64
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)6.5%

Sample

1st rowTRUE
2nd rowTRUE
3rd rowTRUE
4th rowTRUE
5th rowTRUE

Common Values

ValueCountFrequency (%)
TRUE 223
48.4%
FALSE 177
38.4%
False 21
 
4.6%
Unknown 5
 
1.1%
True 3
 
0.7%
UNKNOWN 2
 
0.4%
Unable to provide current investment details for specific companies without up-to-date information 1
 
0.2%
I'm unable to provide real-time or the most up-to-date information on specific company investments as my training only includes knowledge up to September 2021, and I do not have browsing capabilities to check current data To obtain accurate information about Sogelife SA's investments in hedge funds, please contact the company directly or check their latest financial statements or official announcements 1
 
0.2%
I'm sorry, but without up-to-date information on AIG Europe SA's investment strategies, I cannot provide a true or false answer to whether they invest in hedge funds This type of information can change frequently and would require access to the latest financial disclosures or statements from the company 1
 
0.2%
As an AI, I do not have real-time or specific financial investment information for individual companies You would need to check the latest financial disclosures of Baloise Vie Luxembourg SA to determine their investment in hedge funds 1
 
0.2%
Other values (26) 26
 
5.6%

Length

2024-02-09T18:27:32.226923image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
true 232
 
14.8%
false 204
 
13.1%
or 44
 
2.8%
the 41
 
2.6%
to 38
 
2.4%
information 38
 
2.4%
investment 28
 
1.8%
i 26
 
1.7%
provide 21
 
1.3%
specific 20
 
1.3%
Other values (258) 871
55.7%

Most occurring characters

ValueCountFrequency (%)
1101
 
11.5%
e 708
 
7.4%
t 601
 
6.3%
n 598
 
6.2%
i 544
 
5.7%
o 525
 
5.5%
a 469
 
4.9%
s 445
 
4.6%
E 409
 
4.3%
r 369
 
3.8%
Other values (54) 3835
39.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6281
65.4%
Uppercase Letter 2069
 
21.5%
Space Separator 1101
 
11.5%
Other Punctuation 69
 
0.7%
Dash Punctuation 39
 
0.4%
Decimal Number 32
 
0.3%
Control 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 708
11.3%
t 601
9.6%
n 598
9.5%
i 544
 
8.7%
o 525
 
8.4%
a 469
 
7.5%
s 445
 
7.1%
r 369
 
5.9%
c 302
 
4.8%
l 230
 
3.7%
Other values (16) 1490
23.7%
Uppercase Letter
ValueCountFrequency (%)
E 409
19.8%
U 243
11.7%
T 240
11.6%
R 230
11.1%
F 205
9.9%
A 202
9.8%
S 200
9.7%
L 184
8.9%
I 50
 
2.4%
P 27
 
1.3%
Other values (14) 79
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 45
65.2%
' 22
31.9%
& 1
 
1.4%
: 1
 
1.4%
Decimal Number
ValueCountFrequency (%)
2 16
50.0%
0 8
25.0%
1 4
 
12.5%
3 4
 
12.5%
Space Separator
ValueCountFrequency (%)
1101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8350
86.9%
Common 1254
 
13.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 708
 
8.5%
t 601
 
7.2%
n 598
 
7.2%
i 544
 
6.5%
o 525
 
6.3%
a 469
 
5.6%
s 445
 
5.3%
E 409
 
4.9%
r 369
 
4.4%
c 302
 
3.6%
Other values (40) 3380
40.5%
Common
ValueCountFrequency (%)
1101
87.8%
, 45
 
3.6%
- 39
 
3.1%
' 22
 
1.8%
2 16
 
1.3%
0 8
 
0.6%
1 4
 
0.3%
4
 
0.3%
( 4
 
0.3%
) 4
 
0.3%
Other values (4) 7
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9603
> 99.9%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1101
 
11.5%
e 708
 
7.4%
t 601
 
6.3%
n 598
 
6.2%
i 544
 
5.7%
o 525
 
5.5%
a 469
 
4.9%
s 445
 
4.6%
E 409
 
4.3%
r 369
 
3.8%
Other values (53) 3834
39.9%
Punctuation
ValueCountFrequency (%)
1
100.0%

Real Assets (y/n)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct22
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
TRUE
355 
FALSE
56 
False
 
23
True
 
6
Insufficient data
 
3
Other values (17)
 
18

Length

Max length616
Median length4
Mean length13.433839
Min length4

Characters and Unicode

Total characters6193
Distinct characters56
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)3.5%

Sample

1st rowFALSE
2nd rowTRUE
3rd rowTRUE
4th rowTRUE
5th rowTRUE

Common Values

ValueCountFrequency (%)
TRUE 355
77.0%
FALSE 56
 
12.1%
False 23
 
5.0%
True 6
 
1.3%
Insufficient data 3
 
0.7%
Insufficient information 2
 
0.4%
I cannot provide a true or false answer as I lack current, specific information on the investment activities of VITIS Life Luxembourg SA 1
 
0.2%
I cannot provide a one-word TRUE or FALSE answer to that question as I do not have specific information about Stichting Pensioenfonds voor Fysiotherapeuten (SPF)'s investment in real assets Investment details for specific funds such as SPF can vary and typically require up-to-date financial disclosures or statements from the fund itself to answer accurately 1
 
0.2%
I'm unable to provide real-time or the most recent updates on specific investment allocations for Stichting Pensioenfonds IBM Nederland (SPIN) or any other entity as my training data includes information only up until September 2021 For the most accurate and current investment strategies or asset allocations of SPIN, please consult the latest financial reports or official communications from SPIN or a financial analyst with access to current data 1
 
0.2%
Unable to provide current information 1
 
0.2%
Other values (12) 12
 
2.6%

Length

2024-02-09T18:27:32.384955image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
true 370
33.4%
false 88
 
7.9%
or 30
 
2.7%
the 20
 
1.8%
information 20
 
1.8%
investment 19
 
1.7%
a 16
 
1.4%
i 14
 
1.3%
provide 14
 
1.3%
to 14
 
1.3%
Other values (185) 504
45.4%

Most occurring characters

ValueCountFrequency (%)
648
 
10.5%
E 428
 
6.9%
e 404
 
6.5%
T 370
 
6.0%
U 368
 
5.9%
R 364
 
5.9%
t 353
 
5.7%
a 316
 
5.1%
n 307
 
5.0%
i 285
 
4.6%
Other values (46) 2350
37.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3531
57.0%
Uppercase Letter 1932
31.2%
Space Separator 648
 
10.5%
Other Punctuation 39
 
0.6%
Decimal Number 20
 
0.3%
Dash Punctuation 17
 
0.3%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Control 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 404
11.4%
t 353
10.0%
a 316
 
8.9%
n 307
 
8.7%
i 285
 
8.1%
o 283
 
8.0%
s 267
 
7.6%
r 234
 
6.6%
c 157
 
4.4%
l 135
 
3.8%
Other values (16) 790
22.4%
Uppercase Letter
ValueCountFrequency (%)
E 428
22.2%
T 370
19.2%
U 368
19.0%
R 364
18.8%
F 93
 
4.8%
S 82
 
4.2%
A 75
 
3.9%
L 68
 
3.5%
I 38
 
2.0%
P 12
 
0.6%
Other values (9) 34
 
1.8%
Decimal Number
ValueCountFrequency (%)
2 10
50.0%
0 5
25.0%
3 4
 
20.0%
1 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 23
59.0%
' 16
41.0%
Space Separator
ValueCountFrequency (%)
648
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5463
88.2%
Common 730
 
11.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 428
 
7.8%
e 404
 
7.4%
T 370
 
6.8%
U 368
 
6.7%
R 364
 
6.7%
t 353
 
6.5%
a 316
 
5.8%
n 307
 
5.6%
i 285
 
5.2%
o 283
 
5.2%
Other values (35) 1985
36.3%
Common
ValueCountFrequency (%)
648
88.8%
, 23
 
3.2%
- 17
 
2.3%
' 16
 
2.2%
2 10
 
1.4%
0 5
 
0.7%
3 4
 
0.5%
) 2
 
0.3%
( 2
 
0.3%
2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6192
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
648
 
10.5%
E 428
 
6.9%
e 404
 
6.5%
T 370
 
6.0%
U 368
 
5.9%
R 364
 
5.9%
t 353
 
5.7%
a 316
 
5.1%
n 307
 
5.0%
i 285
 
4.6%
Other values (45) 2349
37.9%
None
ValueCountFrequency (%)
ö 1
100.0%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
278 
False
183 
ValueCountFrequency (%)
True 278
60.3%
False 183
39.7%
2024-02-09T18:27:32.532778image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
281 
True
180 
ValueCountFrequency (%)
False 281
61.0%
True 180
39.0%
2024-02-09T18:27:32.637289image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
373 
True
88 
ValueCountFrequency (%)
False 373
80.9%
True 88
 
19.1%
2024-02-09T18:27:32.737748image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Capital Assets (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
374 
False
87 
ValueCountFrequency (%)
True 374
81.1%
False 87
 
18.9%
2024-02-09T18:27:32.839419image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
343 
True
118 
ValueCountFrequency (%)
False 343
74.4%
True 118
 
25.6%
2024-02-09T18:27:32.963379image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
342 
True
119 
ValueCountFrequency (%)
False 342
74.2%
True 119
 
25.8%
2024-02-09T18:27:33.068947image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
285 
True
176 
ValueCountFrequency (%)
False 285
61.8%
True 176
38.2%
2024-02-09T18:27:33.168110image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
248 
False
213 
ValueCountFrequency (%)
True 248
53.8%
False 213
46.2%
2024-02-09T18:27:33.270834image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Impact Investing (y/n)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct23
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
FALSE
211 
TRUE
198 
False
32 
I don't have real-time data or the capability to access specific information about company activities, including the investment focus of Pensioenfonds Vervoer However, as of my last update, Pensioenfonds Vervoer is a Dutch pension fund for the transportation sector and may have policies related to sustainable investing For accurate and current information about their involvement in impact investing specifically, please refer to the latest reports or the official Pensioenfonds Vervoer website
 
1
I'm sorry, but without up-to-date information about Stichting Pensioenfonds IBM Nederland (SPIN) and their investment strategies, I cannot provide a one-word TRUE or FALSE answer regarding their involvement in impact investing
 
1
Other values (18)
 
18

Length

Max length496
Median length5
Mean length15.62039
Min length4

Characters and Unicode

Total characters7201
Distinct characters61
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)4.3%

Sample

1st rowTRUE
2nd rowTRUE
3rd rowFALSE
4th rowTRUE
5th rowFALSE

Common Values

ValueCountFrequency (%)
FALSE 211
45.8%
TRUE 198
43.0%
False 32
 
6.9%
I don't have real-time data or the capability to access specific information about company activities, including the investment focus of Pensioenfonds Vervoer However, as of my last update, Pensioenfonds Vervoer is a Dutch pension fund for the transportation sector and may have policies related to sustainable investing For accurate and current information about their involvement in impact investing specifically, please refer to the latest reports or the official Pensioenfonds Vervoer website 1
 
0.2%
I'm sorry, but without up-to-date information about Stichting Pensioenfonds IBM Nederland (SPIN) and their investment strategies, I cannot provide a one-word TRUE or FALSE answer regarding their involvement in impact investing 1
 
0.2%
Insufficient data 1
 
0.2%
Sorry, I cannot provide real-time or the most up-to-date information on specific companies' activities as my training data only includes information up until 2023 You would need to check the most recent sources or the company's own publications to determine their current involvement in impact investing 1
 
0.2%
Sorry, but without more current data post my last update in 2023, I'm not able to confirm the current investment focus for Stichting Bedrijfstakpensioenfonds Waterbouw Please check the latest information from authoritative sources 1
 
0.2%
I cannot provide a current TRUE or FALSE answer, as my last update was in April 2023 and I don't have real-time data access PPF APG's involvement in impact investing could have changed since then 1
 
0.2%
I'm sorry, but I do not have real-time or the most up-to-date information to confirm whether "Stichting Pensioenfonds voor Dierenartsen (SPD)" is currently involved in impact investing My training data includes information only up to 2023, and this detail regarding SPD's investment strategy might not be included in my data sources For the most accurate information, please consult the latest reports or official statements from SPD or speak directly with a representative of the company 1
 
0.2%
Other values (13) 13
 
2.8%

Length

2024-02-09T18:27:33.382283image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
false 250
20.4%
true 206
 
16.8%
the 37
 
3.0%
information 26
 
2.1%
or 25
 
2.0%
to 22
 
1.8%
in 20
 
1.6%
current 18
 
1.5%
i 17
 
1.4%
investing 16
 
1.3%
Other values (206) 589
48.0%

Most occurring characters

ValueCountFrequency (%)
765
 
10.6%
e 501
 
7.0%
t 450
 
6.2%
E 418
 
5.8%
n 369
 
5.1%
i 360
 
5.0%
a 348
 
4.8%
o 342
 
4.7%
r 285
 
4.0%
s 285
 
4.0%
Other values (51) 3078
42.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4255
59.1%
Uppercase Letter 2057
28.6%
Space Separator 765
 
10.6%
Other Punctuation 64
 
0.9%
Decimal Number 28
 
0.4%
Dash Punctuation 27
 
0.4%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 501
11.8%
t 450
10.6%
n 369
 
8.7%
i 360
 
8.5%
a 348
 
8.2%
o 342
 
8.0%
r 285
 
6.7%
s 285
 
6.7%
c 185
 
4.3%
l 138
 
3.2%
Other values (17) 992
23.3%
Uppercase Letter
ValueCountFrequency (%)
E 418
20.3%
F 252
12.3%
A 229
11.1%
S 228
11.1%
L 218
10.6%
U 207
10.1%
T 206
10.0%
R 203
9.9%
I 30
 
1.5%
P 25
 
1.2%
Other values (12) 41
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 33
51.6%
' 28
43.8%
" 2
 
3.1%
& 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
2 14
50.0%
0 7
25.0%
3 7
25.0%
Space Separator
ValueCountFrequency (%)
765
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6312
87.7%
Common 889
 
12.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 501
 
7.9%
t 450
 
7.1%
E 418
 
6.6%
n 369
 
5.8%
i 360
 
5.7%
a 348
 
5.5%
o 342
 
5.4%
r 285
 
4.5%
s 285
 
4.5%
F 252
 
4.0%
Other values (39) 2702
42.8%
Common
ValueCountFrequency (%)
765
86.1%
, 33
 
3.7%
' 28
 
3.1%
- 27
 
3.0%
2 14
 
1.6%
0 7
 
0.8%
3 7
 
0.8%
" 2
 
0.2%
( 2
 
0.2%
) 2
 
0.2%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7199
> 99.9%
None 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
765
 
10.6%
e 501
 
7.0%
t 450
 
6.3%
E 418
 
5.8%
n 369
 
5.1%
i 360
 
5.0%
a 348
 
4.8%
o 342
 
4.8%
r 285
 
4.0%
s 285
 
4.0%
Other values (49) 3076
42.7%
None
ValueCountFrequency (%)
ö 1
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
260 
True
201 
ValueCountFrequency (%)
False 260
56.4%
True 201
43.6%
2024-02-09T18:27:33.504194image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

ESG (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
366 
False
95 
ValueCountFrequency (%)
True 366
79.4%
False 95
 
20.6%
2024-02-09T18:27:33.615613image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
336 
True
125 
ValueCountFrequency (%)
False 336
72.9%
True 125
 
27.1%
2024-02-09T18:27:33.719190image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
False
285 
True
176 
ValueCountFrequency (%)
False 285
61.8%
True 176
38.2%
2024-02-09T18:27:33.831491image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Sustainability (y/n)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size589.0 B
True
365 
False
96 
ValueCountFrequency (%)
True 365
79.2%
False 96
 
20.8%
2024-02-09T18:27:33.941328image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct148
Distinct (%)43.9%
Missing124
Missing (%)26.9%
Memory size3.7 KiB
2024-02-09T18:27:34.301915image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length428
Median length183
Mean length27.928783
Min length5

Characters and Unicode

Total characters9412
Distinct characters51
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)36.2%

Sample

1st rowGermany, Austria
2nd rowLuxembourg, France, Germany, United States, United Kingdom, Japan, China, Belgium, Italy, Netherlands, Switzerland, Hong Kong, Spain, Canada, Sweden, Australia, Singapore, South Korea, Denmark, Finland
3rd rowFrance, Italy, Spain, United Kingdom, United States
4th rowFrance, United States, United Kingdom, Germany, Italy, Spain, China
5th rowFrance, Germany, Italy, Spain, United Kingdom, United States
ValueCountFrequency (%)
united 85
 
7.2%
netherlands 82
 
7.0%
germany 61
 
5.2%
states 46
 
3.9%
france 43
 
3.7%
kingdom 39
 
3.3%
spain 37
 
3.1%
italy 35
 
3.0%
poland 33
 
2.8%
belgium 31
 
2.6%
Other values (98) 683
58.1%
2024-02-09T18:27:34.844735image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 863
 
9.2%
840
 
8.9%
e 710
 
7.5%
n 641
 
6.8%
, 578
 
6.1%
i 527
 
5.6%
r 448
 
4.8%
t 429
 
4.6%
l 360
 
3.8%
d 335
 
3.6%
Other values (41) 3681
39.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6169
65.5%
Uppercase Letter 1793
 
19.1%
Space Separator 840
 
8.9%
Other Punctuation 584
 
6.2%
Dash Punctuation 26
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 863
14.0%
e 710
11.5%
n 641
10.4%
i 527
 
8.5%
r 448
 
7.3%
t 429
 
7.0%
l 360
 
5.8%
d 335
 
5.4%
o 257
 
4.2%
u 224
 
3.6%
Other values (15) 1375
22.3%
Uppercase Letter
ValueCountFrequency (%)
R 255
14.2%
S 179
 
10.0%
E 168
 
9.4%
N 153
 
8.5%
U 150
 
8.4%
I 107
 
6.0%
C 97
 
5.4%
G 93
 
5.2%
A 68
 
3.8%
L 65
 
3.6%
Other values (12) 458
25.5%
Other Punctuation
ValueCountFrequency (%)
, 578
99.0%
. 6
 
1.0%
Space Separator
ValueCountFrequency (%)
840
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7962
84.6%
Common 1450
 
15.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 863
 
10.8%
e 710
 
8.9%
n 641
 
8.1%
i 527
 
6.6%
r 448
 
5.6%
t 429
 
5.4%
l 360
 
4.5%
d 335
 
4.2%
o 257
 
3.2%
R 255
 
3.2%
Other values (37) 3137
39.4%
Common
ValueCountFrequency (%)
840
57.9%
, 578
39.9%
- 26
 
1.8%
. 6
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9412
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 863
 
9.2%
840
 
8.9%
e 710
 
7.5%
n 641
 
6.8%
, 578
 
6.1%
i 527
 
5.6%
r 448
 
4.8%
t 429
 
4.6%
l 360
 
3.8%
d 335
 
3.6%
Other values (41) 3681
39.1%

Correlations

2024-02-09T18:27:35.133222image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Accomodation/Assisted Living (y/n)Agriculture (y/n)Artificial Intelligence (y/n)Aviation (y/n)Blended Finance (y/n)Blockchain (y/n)Bond Investments (y/n)Buy-out (y/n)Capital Assets (y/n)Chemical (y/n)Close-ended RE Funds (y/n)Commodities (y/n)Core RE (y/n)Core+ RE (y/n)Crypto (y/n)Datacenter (y/n)Direct Bond Investments (y/n)Direct Lending (y/n)Direct Lending Fund (y/n)Direct PE (y/n)Direct Real Estate (y/n)Distressed PD (y/n)Distressed RE (y/n)ESG (y/n)Educational (y/n)Electrical Engineering (y/n)Equities/Stocks (y/n)FMCG (y/n)Fashion (y/n)Finance (y/n)Fintech (y/n)Food/Nutrition (y/n)Healthcare RE (y/n)Healthcare/Pharmaceutical (y/n)Heavy Engineering (y/n)Hedge Funds (y/n)IT (y/n)Impact Investing (y/n)Impact Investments (y/n)Indirect Bond Investments (y/n)Indirect PE (y/n)Industrial (y/n)Infrastructure (y/n)Internet of Things (y/n)Jewelry/Lifestyle (y/n)Junior PD (y/n)List of originListed RE Funds (y/n)Loans (y/n)Logistics (y/n)Manufacturing (y/n)Maritime/Shipping (y/n)Mezzanine PD (y/n)Natural Ressources (y/n)Office (y/n)Open-ended RE Funds (y/n)Opportunistic PD (y/n)Opportunistic RE (y/n)PD Fund of Funds (y/n)PD Funds (y/n)PE Co-InvestmentPE Fund of Funds (y/n)Parking (y/n)Philantrophy (y/n)Private Debt (y/n)Private Equity (y/n)RE Debt (y/n)RE Equity (y/n)RE Fund of Funds (y/n)RE Secondaries (y/n)Real Assets (y/n)Real Estate (y/n)Real Estate Funds (y/n)Renewables (y/n)Residential (y/n)Retail/Shopping (y/n)Secondaries (y/n)Senior PD (y/n)Software (y/n)Special Situations/Distressed (y/n)Sustainability (y/n)Timber (y/n)Tourism, Parks & Leisure (y/n)Unitranche (y/n)Unlisted RE Funds (y/n)Value added RE (y/n)Venture Capital (y/n)Venture Debt (y/n)eCommerce (y/n)
Accomodation/Assisted Living (y/n)1.0000.1750.2710.2280.2450.3340.0000.2900.2230.1960.3590.0000.3040.2600.2520.2980.0000.4030.3030.3350.0000.2900.3600.2630.2630.2410.0000.2370.2410.3050.3130.3000.3570.2960.0750.0000.2240.0000.2460.0000.2860.2480.1800.2440.3230.3350.2870.1730.0000.3130.2270.1070.3280.2540.2810.2280.2800.3670.1090.3010.3790.2070.2340.0000.0000.0000.2320.2950.1450.1820.0000.0670.0000.2420.2770.2740.2910.1930.3250.3380.3250.2240.2030.2860.3800.4030.2350.2300.320
Agriculture (y/n)0.1751.0000.1590.1820.1540.2270.0900.1030.1530.0630.1440.2230.2580.1810.0760.2450.0590.2400.2700.1810.1020.1650.1630.1900.1810.1540.0490.0990.0700.1710.2230.2510.2600.1400.0660.0000.1570.0730.2010.0450.1660.2610.2450.0000.0720.2420.2110.2340.2050.2640.0940.1890.1730.3470.2390.1560.2440.2890.1380.2450.1910.0920.1010.1460.0810.1370.2010.2400.0560.1710.0780.0840.0000.1700.2000.2320.1850.2560.1980.2530.2280.2150.1230.1770.2410.2430.0650.1300.130
Artificial Intelligence (y/n)0.2710.1591.0000.1770.1870.2920.0930.3590.2360.1210.3490.0570.1470.2670.2750.2510.1900.3370.3650.3410.2440.2630.2620.3300.3180.1870.1510.3390.2120.2900.3650.3750.2400.3640.1200.3090.4210.2710.1730.2750.2820.1520.0580.3340.2860.3870.5330.1600.3900.2920.2130.1730.2860.1670.1900.2350.2770.3360.1550.3550.4360.2040.1170.0000.3790.3670.1840.1630.1090.2980.2070.1840.2340.2260.0930.1470.3130.3020.4440.3870.3330.1730.2360.2530.3700.3420.2620.3180.415
Aviation (y/n)0.2280.1820.1771.0000.2250.2440.0000.1610.1820.0780.1850.1440.2760.1520.1010.1920.0000.1890.2000.1790.1120.2910.1370.1890.2310.1210.0000.1040.1730.1840.2240.1910.2260.2400.1980.0000.1920.0000.1540.0770.1450.1970.1600.0940.2230.2480.2630.2000.1230.2710.1810.2920.1640.1500.1880.1120.2530.2530.0880.2500.2250.1710.2100.0850.0000.0550.1840.2200.0840.0960.0000.0990.0000.1740.1250.1830.1050.2030.2220.2100.1910.1510.1390.2200.2440.2000.1650.1140.214
Blended Finance (y/n)0.2450.1540.1870.2251.0000.2710.0000.1760.1170.1780.2070.0000.1940.1490.2070.1920.1250.2780.2260.2370.1970.2880.2510.2650.2680.2310.0000.1870.1550.2360.2080.2520.3150.1730.1110.0000.2600.1570.3320.0000.2210.1480.2570.1640.2010.2760.3290.1510.1570.2590.2230.1520.1560.1710.1510.1650.1930.2320.1290.2890.2370.1450.1760.0750.0000.1980.2240.1770.0000.1810.0410.0340.0810.2230.1890.1920.1370.2440.2510.2970.2430.1410.1810.1930.2740.2770.2480.2670.267
Blockchain (y/n)0.3340.2270.2920.2440.2711.0000.1520.2690.2470.1220.2930.2020.2630.3230.2790.2840.2260.3950.3860.3370.2490.2850.2120.3630.2880.2310.1030.2490.2380.2880.4390.2960.2630.2650.1100.2970.3360.2430.3300.2230.3170.2840.2820.3060.2600.3390.5110.2500.3170.3150.2190.2490.2840.1720.2450.2110.2840.3510.1550.3600.4360.2600.1530.1020.2760.2610.2540.2690.0650.1600.2660.1650.1700.3300.1120.2220.2800.3310.4120.3900.3770.2910.2180.2640.4340.3450.2580.2790.405
Bond Investments (y/n)0.0000.0900.0930.0000.0000.1521.0000.0940.3680.0000.1990.0000.2470.1500.0000.0630.4510.2410.2680.2520.0060.1460.0000.4110.1010.0000.4760.0000.0000.1830.2730.1280.1160.1740.0000.5860.2220.3030.1030.4600.3670.0000.1480.0000.0000.1830.2630.2050.5070.2240.1290.0000.1170.1170.1150.1550.2070.2160.0710.2040.2640.0770.0000.1360.4020.4420.1810.2200.1150.0360.4280.2120.6060.2200.0000.0000.1670.1420.2480.2790.3720.1600.0000.0000.3270.2820.0000.0000.212
Buy-out (y/n)0.2900.1030.3590.1610.1760.2690.0941.0000.2650.2710.3780.0680.2340.2270.1910.3000.2480.3880.3970.4250.1890.3770.2030.3610.3210.1590.1510.2170.2250.3440.4040.3090.2830.3330.1660.3580.3470.2750.1690.2530.2900.1360.1240.2820.3230.3800.4590.2460.3130.3660.3450.1660.3510.1770.2110.2420.2870.3680.2250.3660.4070.3190.1420.0100.3270.3290.2430.2550.1410.2920.1890.1990.2500.2180.0510.1350.3600.3700.4690.4040.3430.1670.2700.3230.3800.4570.2360.3080.396
Capital Assets (y/n)0.2230.1530.2360.1820.1170.2470.3680.2651.0000.1260.3020.1050.3590.2980.0000.2500.3800.3270.3760.3590.3960.2440.1170.4310.1800.1480.3240.1040.0630.2770.3490.1750.2570.1990.0710.4880.3030.3700.1660.3560.3590.2230.2680.1640.1350.3340.5290.3620.4200.3540.2260.1710.3130.1580.2940.2670.3460.3210.2040.3660.3900.2760.1820.1610.4750.3920.3030.3160.1990.2290.3600.2650.4730.3000.1380.1740.2440.3970.3270.3440.4810.2670.1790.1340.4360.3770.1830.1750.290
Chemical (y/n)0.1960.0630.1210.0780.1780.1220.0000.2710.1261.0000.1860.0000.0910.1450.0530.0460.1210.2200.1790.2750.0000.1520.2250.1720.2280.2000.0720.2510.2460.1660.2370.3280.1370.2810.1420.0000.2720.0000.1120.0840.1560.1580.0460.1720.2600.2210.3200.1060.0420.1980.2610.1220.2240.0760.1150.0990.1520.1820.1330.1850.2390.1960.0440.0770.0000.1730.0910.1450.0670.1330.0000.0810.0000.1360.0000.1300.2160.1970.2420.2110.1740.0000.2480.1710.2070.2240.2060.2510.245
Close-ended RE Funds (y/n)0.3590.1440.3490.1850.2070.2930.1990.3780.3020.1861.0000.0880.3700.3710.1940.3640.3400.4410.3920.4510.3080.4370.2820.4210.3140.1770.2480.2600.2290.3770.4600.3540.3250.3290.1230.4330.3750.3530.1700.3240.3960.2620.1340.3330.3060.4350.6020.3160.4260.3780.3460.0950.3680.2130.3550.3480.3990.4690.2820.4570.5020.3340.2450.0590.4650.4080.3610.3440.1740.3330.2710.2880.3200.3350.1440.2160.3640.4480.4270.4620.3930.2230.2190.2810.4880.5150.2460.3050.434
Commodities (y/n)0.0000.2230.0570.1440.0000.2020.0000.0680.1050.0000.0881.0000.2380.1920.0000.0980.0000.1460.1580.0890.0000.1480.0780.1800.0000.0000.0000.0000.0000.1150.1520.0740.1340.1030.0720.0000.0000.0000.1150.0000.0970.1660.1910.0000.1130.1020.1850.1890.1210.1630.0000.1410.1360.2460.1900.1950.1360.1960.1090.1280.0810.0150.1500.0000.0000.0000.1930.2600.1300.1250.0000.0870.0000.1730.1640.1700.1580.2700.1450.2240.2240.2220.0520.1270.1700.1890.0000.0700.101
Core RE (y/n)0.3040.2580.1470.2760.1940.2630.2470.2340.3590.0910.3700.2381.0000.3990.1550.3470.2470.3570.3380.2850.2950.3540.2500.3930.3240.1650.2090.1150.1620.3070.3690.2170.4120.2470.0450.2980.2370.2670.2510.2720.3080.3050.3020.1290.2720.3360.4540.4040.3260.4100.1730.2290.3350.2560.3860.3630.4170.4860.1770.4190.3570.2160.2470.2220.2560.2520.4190.4530.2510.2960.2600.1940.2870.4100.2570.2520.2970.4550.2910.3910.4080.3850.2830.2560.4510.4700.0640.1620.245
Core+ RE (y/n)0.2600.1810.2670.1520.1490.3230.1500.2270.2980.1450.3710.1920.3991.0000.0290.3340.2760.3500.3190.2730.2570.3050.2400.3910.2040.1630.1800.2200.1450.2580.3710.2430.3370.1960.0870.2830.2650.1970.2270.1960.3610.2510.2930.1220.2720.3500.5010.3540.2960.3710.1490.1470.3180.2220.3260.3320.3870.4160.1960.4420.3600.1910.2040.2110.2790.1990.3010.2610.1260.2330.1970.1550.2440.3040.2400.2410.2980.3740.3860.3780.3510.2750.2460.1920.4520.4040.0700.1870.307
Crypto (y/n)0.2520.0760.2750.1010.2070.2790.0000.1910.0000.0530.1940.0000.1550.0291.0000.1770.0000.1770.1840.2010.0000.1770.2350.1540.2180.1760.0000.2380.2000.2170.1500.2010.1900.1900.0980.0000.2080.0000.1140.0000.1330.1060.0000.2310.2300.1870.2850.0990.1100.1270.1460.0990.1640.1020.1010.0820.1560.2400.1250.1580.1980.1310.1100.0000.0000.0000.1090.0990.0000.1530.0000.0450.0000.0860.0570.1000.1670.0710.2280.2200.1360.0750.1960.2060.1780.2050.1890.2210.240
Datacenter (y/n)0.2980.2450.2510.1920.1920.2840.0630.3000.2500.0460.3640.0980.3470.3340.1771.0000.1710.3540.2930.3230.2250.3660.2980.2860.2360.1520.0620.1560.1700.2960.2920.2730.4540.2230.0940.2170.2300.1970.2590.1670.3010.3690.2170.2880.2520.3050.3820.2850.2600.3990.2130.2190.2640.2620.2680.2920.3020.3880.1110.3900.3750.1620.3460.1350.1750.1780.3010.3090.0870.1970.1490.1280.1470.2790.2090.2760.2410.3330.3250.3150.3000.2490.2010.2890.4060.3700.1090.2240.321
Direct Bond Investments (y/n)0.0000.0590.1900.0000.1250.2260.4510.2480.3800.1210.3400.0000.2470.2760.0000.1711.0000.3920.3820.2970.3450.2300.0000.4650.1700.1180.2760.1570.0000.2920.3710.2140.2350.2580.0000.5570.3310.3410.1540.3350.4600.1210.2060.1490.0330.3240.3790.3140.0830.2670.1810.0000.2160.1090.2650.2540.2760.3520.1010.3300.3860.1940.0000.1050.2630.4870.2120.2190.0630.2000.5230.2290.4300.2660.0000.0640.3080.2250.3120.4100.4220.1790.1280.1060.4130.3660.1200.1720.333
Direct Lending (y/n)0.4030.2400.3370.1890.2780.3950.2410.3880.3270.2200.4410.1460.3570.3500.1770.3540.3921.0000.5120.4780.3230.4510.2970.4610.3160.1870.2700.2650.1900.4220.4810.3420.3740.3560.1070.4470.3680.3690.3090.3260.3850.2590.2250.2460.3050.4930.5980.3520.4380.4100.2630.1930.4500.2540.2910.2620.4870.4860.2440.4270.4870.3350.2240.1830.4140.3830.3300.3370.1480.3160.3020.2360.3970.3730.2000.2750.4730.4490.4840.5210.4330.3110.2480.3370.5070.5300.2620.3020.441
Direct Lending Fund (y/n)0.3030.2700.3650.2000.2260.3860.2680.3970.3760.1790.3920.1580.3380.3190.1840.2930.3820.5121.0000.4120.3360.3520.2430.4790.3200.1420.3040.2650.1620.3810.4910.3250.3460.3560.1170.4690.3840.4090.2930.3770.4100.1560.2480.2760.2610.5110.6220.3640.4310.3740.2560.2450.3660.2450.2160.2790.4550.4170.2930.4900.4820.3350.1560.1740.4470.3770.2480.3160.2080.2620.3520.1810.4140.3350.1070.1830.3820.4440.5190.5150.4400.2850.2840.2850.5490.4440.2080.2880.502
Direct PE (y/n)0.3350.1810.3410.1790.2370.3370.2520.4250.3590.2750.4510.0890.2850.2730.2010.3230.2970.4780.4121.0000.2720.3560.2890.4490.3530.3150.2520.3250.1960.4400.4960.3560.3150.3320.1500.3690.4650.3390.1860.3220.3260.2870.1940.2960.2960.4310.5430.2560.3580.3570.3500.1100.3630.1570.2570.2020.4000.4340.2610.3830.5100.3990.1920.0610.4460.4380.3210.3450.1440.2670.3020.2770.3560.2930.1030.2150.3340.3860.4830.4400.4100.1970.3160.2970.4630.4660.3580.3010.443
Direct Real Estate (y/n)0.0000.1020.2440.1120.1970.2490.0060.1890.3960.0000.3080.0000.2950.2570.0000.2250.3450.3230.3360.2721.0000.1970.1760.4070.1910.0000.2480.1410.1410.2200.3360.2570.2710.2300.0000.3730.2860.3130.2570.5070.3100.1810.1860.1420.1420.2950.3390.2130.3410.3080.0940.0530.2510.1710.2660.2220.2770.2970.1180.3120.3130.1780.0880.0000.3480.3930.2590.3160.1190.1600.4360.6860.3830.2570.0500.1330.2450.2040.2530.3300.4080.1970.1210.1820.4460.3970.1360.1120.305
Distressed PD (y/n)0.2900.1650.2630.2910.2880.2850.1460.3770.2440.1520.4370.1480.3540.3050.1770.3660.2300.4510.3520.3560.1971.0000.2770.3260.3530.1890.1570.2650.2290.3780.4150.3220.2800.3010.1300.2630.3460.2390.2660.2700.2710.3300.1830.1990.2760.3580.4770.2960.3200.3520.2080.2130.3930.2920.1900.2380.3750.4860.2780.4690.3650.2870.2650.0790.2850.2780.3900.3610.1730.3040.2110.1530.2590.2870.1840.1660.3700.3880.3870.4740.3070.2240.2540.3990.4390.4200.2370.3450.387
Distressed RE (y/n)0.3600.1630.2620.1370.2510.2120.0000.2030.1170.2250.2820.0780.2500.2400.2350.2980.0000.2970.2430.2890.1760.2771.0000.1930.2900.2210.0000.3090.1920.2390.2490.3000.3100.2240.1570.0000.2290.0000.2930.0000.1700.2280.1360.2200.3210.2290.3920.1120.1710.3120.2020.2020.2360.1850.1600.1810.2020.3110.1090.3360.2830.1790.2700.0000.0570.1640.2150.2270.0000.0680.0000.1240.0000.1720.2520.2580.2390.2480.2720.2860.2090.0680.2110.2280.2600.3210.1600.2640.351
ESG (y/n)0.2630.1900.3300.1890.2650.3630.4110.3610.4310.1720.4210.1800.3930.3910.1540.2860.4650.4610.4790.4490.4070.3260.1931.0000.2740.2060.3030.2160.0980.3980.4870.3390.3610.3310.1050.5740.4050.4990.2990.5150.4810.2670.3350.2960.2080.4340.7030.3830.4940.4210.2970.1660.4210.1770.3150.3480.4220.4850.2510.4860.5010.3280.2110.2920.5800.5190.3390.3420.1790.2510.4910.2940.4870.3810.1570.1820.3710.5180.4390.4910.6030.2810.2380.2670.5320.4690.2450.2690.452
Educational (y/n)0.2630.1810.3180.2310.2680.2880.1010.3210.1800.2280.3140.0000.3240.2040.2180.2360.1700.3160.3200.3530.1910.3530.2900.2741.0000.2420.2040.3140.3190.2640.3880.3790.3690.3740.2150.2200.3480.1830.2040.2350.2740.2680.1990.2260.3340.3270.4630.2030.2750.3200.3540.1610.2370.1330.1490.2160.3270.3630.2080.3490.3810.2440.1660.0000.2300.2950.2670.2400.0540.2820.1440.1600.1800.2460.0970.1740.2750.2690.4160.3500.3000.1770.2580.3410.3200.3690.2980.2850.375
Electrical Engineering (y/n)0.2410.1540.1870.1210.2310.2310.0000.1590.1480.2000.1770.0000.1650.1630.1760.1520.1180.1870.1420.3150.0000.1890.2210.2060.2421.0000.0000.2760.1850.2480.2630.2590.2790.2140.1590.0000.2240.0370.1330.0740.1620.2330.0910.1760.2340.2360.2970.1490.1580.2380.2110.1180.0940.0850.1270.0930.1430.2600.1010.2270.2920.1240.2720.0000.0000.0620.1540.1170.0000.0770.0640.0000.0000.2030.0820.0660.1510.1710.3000.3000.2080.0950.2290.1830.2290.2310.1830.2550.258
Equities/Stocks (y/n)0.0000.0490.1510.0000.0000.1030.4760.1510.3240.0720.2480.0000.2090.1800.0000.0620.2760.2700.3040.2520.2480.1570.0000.3030.2040.0001.0000.1570.0000.2220.2470.1720.1270.2210.1220.3930.2070.3060.1300.4460.2910.0430.0310.1690.0680.2450.2680.2530.4230.1710.1230.0000.1880.0980.1560.1500.2020.2210.1460.2410.2520.1860.0000.0000.2690.5510.1260.1450.0950.1360.2150.1960.4730.2040.0000.1240.2460.1780.2670.2760.2730.1360.1160.1000.2790.2830.1710.1550.299
FMCG (y/n)0.2370.0990.3390.1040.1870.2490.0000.2170.1040.2510.2600.0000.1150.2200.2380.1560.1570.2650.2650.3250.1410.2650.3090.2160.3140.2760.1571.0000.2290.2900.2890.3620.1690.3260.1780.2600.3280.1350.1600.1990.2060.1480.0630.2090.2200.2920.4480.0530.2110.1940.2610.1130.2400.0400.1310.0000.2170.2570.0840.2650.3320.2380.0830.0530.2030.2450.1260.0880.0000.1830.0860.1880.1350.1780.0000.1570.2580.2390.3070.2850.2180.1140.2370.2270.2580.2960.2650.2010.330
Fashion (y/n)0.2410.0700.2120.1730.1550.2380.0000.2250.0630.2460.2290.0000.1620.1450.2000.1700.0000.1900.1620.1960.1410.2290.1920.0980.3190.1850.0000.2291.0000.1450.2080.2660.1620.2360.0850.0600.2550.0000.2170.0700.1000.2060.0040.0320.3580.2280.3780.0670.1930.2420.1560.1260.1520.0860.1690.0510.2330.1870.1120.2420.2520.1340.1850.0860.0000.1320.1620.1770.0420.1540.0000.0870.0000.2060.0890.1640.1390.1390.2370.2200.0830.0000.1430.2340.1810.2590.1920.1900.262
Finance (y/n)0.3050.1710.2900.1840.2360.2880.1830.3440.2770.1660.3770.1150.3070.2580.2170.2960.2920.4220.3810.4400.2200.3780.2390.3980.2640.2480.2220.2900.1451.0000.3680.3580.3020.3830.1170.3550.3470.3040.1720.2850.3960.2600.2130.3230.2750.3730.5040.3160.3320.2890.2780.2090.2980.2800.2060.2620.3730.4250.3080.4470.4700.3350.1430.0960.3640.3370.3420.2550.2070.2350.2700.2060.2650.2900.0890.2150.4120.4310.3730.3800.3800.2730.3350.2410.4530.3800.2960.3710.374
Fintech (y/n)0.3130.2230.3650.2240.2080.4390.2730.4040.3490.2370.4600.1520.3690.3710.1500.2920.3710.4810.4910.4960.3360.4150.2490.4870.3880.2630.2470.2890.2080.3681.0000.3700.3640.3450.1130.4600.4410.4010.2100.3890.4090.2370.2320.2590.2780.4360.6410.3430.4310.4230.3750.2480.3800.2160.2580.3060.4340.4840.2840.4590.5020.3410.1500.1830.4710.4200.2800.3200.0470.2240.3710.2300.3700.3040.0880.1960.3630.5100.5410.5010.4700.2480.2670.2970.4920.5010.3360.3590.455
Food/Nutrition (y/n)0.3000.2510.3750.1910.2520.2960.1280.3090.1750.3280.3540.0740.2170.2430.2010.2730.2140.3420.3250.3560.2570.3220.3000.3390.3790.2590.1720.3620.2660.3580.3701.0000.3180.4320.1860.3120.3810.2710.2780.2900.2900.3060.1740.3580.3230.3200.5330.2020.3210.2880.3570.1970.2180.2460.2320.1640.3090.3590.2470.3150.4330.3000.1810.0000.3320.3670.1890.2790.0710.2820.2290.2400.2560.2310.1530.2830.3540.2620.4310.3570.2970.2150.2700.2460.3970.3750.3960.3120.437
Healthcare RE (y/n)0.3570.2600.2400.2260.3150.2630.1160.2830.2570.1370.3250.1340.4120.3370.1900.4540.2350.3740.3460.3150.2710.2800.3100.3610.3690.2790.1270.1690.1620.3020.3640.3181.0000.2880.1760.2820.3140.2370.1790.2000.3450.4160.1770.2580.2850.3440.4490.2640.2970.3920.3440.2310.3430.3150.3220.2890.3160.4190.0970.3830.4240.2550.3330.0950.2840.2720.2680.3560.0910.2230.2350.1800.1950.2720.3120.3650.2470.4000.4270.3960.3640.3040.2910.2970.4030.4410.2050.1730.383
Healthcare/Pharmaceutical (y/n)0.2960.1400.3640.2400.1730.2650.1740.3330.1990.2810.3290.1030.2470.1960.1900.2230.2580.3560.3560.3320.2300.3010.2240.3310.3740.2140.2210.3260.2360.3830.3450.4320.2881.0000.1640.3360.4220.2350.1470.3130.2320.2320.1090.2190.2870.3040.4480.1790.3130.2910.2690.1940.2500.2290.1800.1740.3090.3280.1150.2820.4650.2710.1040.0000.3000.3090.2030.1780.0560.2600.1760.2190.2400.2310.0980.2030.2930.3340.3760.3100.3020.1630.2570.2130.3070.3810.3240.3440.436
Heavy Engineering (y/n)0.0750.0660.1200.1980.1110.1100.0000.1660.0710.1420.1230.0720.0450.0870.0980.0940.0000.1070.1170.1500.0000.1300.1570.1050.2150.1590.1220.1780.0850.1170.1130.1860.1760.1641.0000.0000.1730.0000.1160.0000.1020.1320.0830.0590.1150.1170.1490.1040.0000.1190.1930.1050.1230.0640.0700.0790.0440.1420.0640.1350.1830.0210.1310.0000.0000.0000.0650.1070.0000.0560.0000.0000.0000.1260.1000.1430.1030.1230.1310.1230.1060.0710.2070.1490.1310.1710.1570.1300.123
Hedge Funds (y/n)0.0000.0000.3090.0000.0000.2970.5860.3580.4880.0000.4330.0000.2980.2830.0000.2170.5570.4470.4690.3690.3730.2630.0000.5740.2200.0000.3930.2600.0600.3550.4600.3120.2820.3360.0001.0000.4200.4470.1520.4620.4820.0110.1840.1690.1490.4050.4780.3170.3620.3020.1750.0000.3360.1090.2390.1950.3730.4050.1500.4000.4870.3040.0000.0690.5730.5680.2420.2220.0000.1640.6590.2780.4390.2730.0000.0150.3550.2680.4520.4500.5230.1950.0000.2550.5560.5080.2110.2340.421
IT (y/n)0.2240.1570.4210.1920.2600.3360.2220.3470.3030.2720.3750.0000.2370.2650.2080.2300.3310.3680.3840.4650.2860.3460.2290.4050.3480.2240.2070.3280.2550.3470.4410.3810.3140.4220.1730.4201.0000.2940.2230.3200.3220.2130.1090.2690.2620.3830.5550.2770.4050.2820.3390.1960.3220.2210.1790.1830.3510.3500.1520.4060.4930.3470.1550.0000.3820.3870.2820.2270.0920.2330.2950.2160.3140.2980.0400.1060.3330.3450.5150.4370.3550.1400.3090.2620.4280.4460.3110.3340.498
Impact Investing (y/n)0.0000.0730.2710.0000.1570.2430.3030.2750.3700.0000.3530.0000.2670.1970.0000.1970.3410.3690.4090.3390.3130.2390.0000.4990.1830.0370.3060.1350.0000.3040.4010.2710.2370.2350.0000.4470.2941.0000.2340.3820.4290.1500.2560.1600.1390.3930.4500.2950.4480.2770.2030.0000.2790.1380.2120.2150.2980.3430.1140.3610.4690.2170.0000.1450.4580.4150.2210.2640.0000.2780.3420.6640.4650.2740.1080.0360.3110.2230.3740.3970.4800.2100.1240.0930.4970.3630.2500.1760.349
Impact Investments (y/n)0.2460.2010.1730.1540.3320.3300.1030.1690.1660.1120.1700.1150.2510.2270.1140.2590.1540.3090.2930.1860.2570.2660.2930.2990.2040.1330.1300.1600.2170.1720.2100.2780.1790.1470.1160.1520.2230.2341.0000.1780.2060.2320.2580.1020.2420.2990.3170.2610.2170.2850.0990.2010.2060.1740.1780.1560.2040.2420.1770.3300.2410.1870.1620.1050.1860.2220.2690.2640.1340.1850.1680.1430.2110.3600.1900.2420.2590.2650.1930.2540.2800.2550.1360.2030.3550.2990.1860.2570.285
Indirect Bond Investments (y/n)0.0000.0450.2750.0770.0000.2230.4600.2530.3560.0840.3240.0000.2720.1960.0000.1670.3350.3260.3770.3220.5070.2700.0000.5150.2350.0740.4460.1990.0700.2850.3890.2900.2000.3130.0000.4620.3200.3820.1781.0000.4510.1530.2140.1470.0000.3250.3860.2660.4930.3080.2150.0180.2590.1480.2100.1950.3120.3650.1990.3150.4130.2220.0000.0910.6370.3850.2050.2440.1180.1940.4430.2900.4060.3050.0000.1410.2770.2330.3600.4100.4600.2070.1400.1620.4130.4100.1820.2030.327
Indirect PE (y/n)0.2860.1660.2820.1450.2210.3170.3670.2900.3590.1560.3960.0970.3080.3610.1330.3010.4600.3850.4100.3260.3100.2710.1700.4810.2740.1620.2910.2060.1000.3960.4090.2900.3450.2320.1020.4820.3220.4290.2060.4511.0000.1730.2630.2360.2160.3660.6210.3210.4560.3230.2700.2060.3160.2250.3030.1990.3890.3790.2660.4130.4740.2800.1340.1630.5050.4580.2280.2340.1230.2200.4510.2670.4490.3490.0460.1690.3470.4670.4410.4590.4750.2470.2990.1840.5200.4190.2540.2530.357
Industrial (y/n)0.2480.2610.1520.1970.1480.2840.0000.1360.2230.1580.2620.1660.3050.2510.1060.3690.1210.2590.1560.2870.1810.3300.2280.2670.2680.2330.0430.1480.2060.2600.2370.3060.4160.2320.1320.0110.2130.1500.2320.1530.1731.0000.1930.1820.1400.2290.3290.2170.2060.4070.2290.0490.2320.2270.2380.2610.2480.3920.0970.2620.3320.1460.3330.0000.1570.1750.2560.3270.1200.1620.0760.1780.0260.2650.2110.3390.2720.2980.2240.2950.2820.2700.2620.2510.3470.3150.1300.2260.244
Infrastructure (y/n)0.1800.2450.0580.1600.2570.2820.1480.1240.2680.0460.1340.1910.3020.2930.0000.2170.2060.2250.2480.1940.1860.1830.1360.3350.1990.0910.0310.0630.0040.2130.2320.1740.1770.1090.0830.1840.1090.2560.2580.2140.2630.1931.0000.0170.1200.1900.2980.3140.1810.3220.1600.1950.2260.2500.2660.2570.2350.3300.1900.2860.2490.1520.0810.2550.2040.1470.3200.3060.1600.1990.2320.1200.1890.2810.2120.2430.2130.2950.1790.2510.2850.2550.1410.1110.3400.2690.1090.1770.102
Internet of Things (y/n)0.2440.0000.3340.0940.1640.3060.0000.2820.1640.1720.3330.0000.1290.1220.2310.2880.1490.2460.2760.2960.1420.1990.2200.2960.2260.1760.1690.2090.0320.3230.2590.3580.2580.2190.0590.1690.2690.1600.1020.1470.2360.1820.0171.0000.1320.2640.4110.1050.2090.2060.2680.0900.1730.0760.1870.2100.1490.2700.1180.1960.3300.1910.2640.0520.1850.2150.0970.1440.0380.1380.1240.1340.1070.2810.0000.0600.2230.2150.3690.3060.2490.1330.2040.2930.3090.2660.2820.2230.373
Jewelry/Lifestyle (y/n)0.3230.0720.2860.2230.2010.2600.0000.3230.1350.2600.3060.1130.2720.2720.2300.2520.0330.3050.2610.2960.1420.2760.3210.2080.3340.2340.0680.2200.3580.2750.2780.3230.2850.2870.1150.1490.2620.1390.2420.0000.2160.1400.1200.1321.0000.3190.3640.1890.1850.2870.1700.1410.2380.2000.1900.1600.2840.3090.1350.3100.2950.2100.1650.0000.0000.2200.2610.2600.0000.2250.0000.1390.1050.1730.1910.1180.2840.2700.3260.2920.2240.1750.2500.2410.2440.3030.1890.2500.341
Junior PD (y/n)0.3350.2420.3870.2480.2760.3390.1830.3800.3340.2210.4350.1020.3360.3500.1870.3050.3240.4930.5110.4310.2950.3580.2290.4340.3270.2360.2450.2920.2280.3730.4360.3200.3440.3040.1170.4050.3830.3930.2990.3250.3660.2290.1900.2640.3191.0000.5850.2860.3910.3710.2410.1500.3560.1780.2580.2410.4470.3940.2650.4670.4540.3000.2140.0840.4780.3400.2560.3170.1520.2700.2770.2110.3540.3090.1840.2340.3810.4460.5330.4750.3840.3070.2570.2780.4950.4930.2400.3400.399
List of origin0.2870.2110.5330.2630.3290.5110.2630.4590.5290.3200.6020.1850.4540.5010.2850.3820.3790.5980.6220.5430.3390.4770.3920.7030.4630.2970.2680.4480.3780.5040.6410.5330.4490.4480.1490.4780.5550.4500.3170.3860.6210.3290.2980.4110.3640.5851.0000.4690.4680.5240.4400.2190.5090.2240.3450.3810.5470.6060.3320.6240.6910.3770.2430.4850.5090.4930.3200.3590.1070.3190.3900.3050.4030.4180.1520.2960.4700.4050.6570.7080.6860.3760.3680.3400.7130.6160.4020.4380.645
Listed RE Funds (y/n)0.1730.2340.1600.2000.1510.2500.2050.2460.3620.1060.3160.1890.4040.3540.0990.2850.3140.3520.3640.2560.2130.2960.1120.3830.2030.1490.2530.0530.0670.3160.3430.2020.2640.1790.1040.3170.2770.2950.2610.2660.3210.2170.3140.1050.1890.2860.4691.0000.3480.3430.2030.2250.3330.2690.2500.3230.3470.4170.2670.4040.3550.2990.1230.2160.3160.2550.3430.3520.2600.2600.2160.1600.2830.3610.1400.2200.3120.3880.3470.3370.3760.3250.2230.1170.4560.3190.1750.1820.259
Loans (y/n)0.0000.2050.3900.1230.1570.3170.5070.3130.4200.0420.4260.1210.3260.2960.1100.2600.0830.4380.4310.3580.3410.3200.1710.4940.2750.1580.4230.2110.1930.3320.4310.3210.2970.3130.0000.3620.4050.4480.2170.4930.4560.2060.1810.2090.1850.3910.4680.3481.0000.3520.2690.0890.4250.2210.2180.2440.3430.4050.1720.4200.4820.3020.1430.1860.5780.4690.2590.2790.1520.2340.3680.2340.3110.3140.0970.2150.3590.2880.4120.4760.5100.2620.1860.2450.5530.4770.2370.2250.442
Logistics (y/n)0.3130.2640.2920.2710.2590.3150.2240.3660.3540.1980.3780.1630.4100.3710.1270.3990.2670.4100.3740.3570.3080.3520.3120.4210.3200.2380.1710.1940.2420.2890.4230.2880.3920.2910.1190.3020.2820.2770.2850.3080.3230.4070.3220.2060.2870.3710.5240.3430.3521.0000.2260.1830.3430.2180.3940.2890.4170.4250.1920.4460.3870.2160.2860.2650.3690.3200.3670.4010.0870.2150.2910.1790.2540.3920.1970.3260.2600.4390.3800.4890.4460.3020.2690.2520.4260.4710.1420.2270.324
Manufacturing (y/n)0.2270.0940.2130.1810.2230.2190.1290.3450.2260.2610.3460.0000.1730.1490.1460.2130.1810.2630.2560.3500.0940.2080.2020.2970.3540.2110.1230.2610.1560.2780.3750.3570.3440.2690.1930.1750.3390.2030.0990.2150.2700.2290.1600.2680.1700.2410.4400.2030.2690.2261.0000.1560.2550.1490.1760.1310.2470.2790.1620.2720.4030.3090.2270.0000.2970.2510.1350.1620.0770.1770.2060.1810.1690.1960.0700.2350.2880.2680.3430.3430.2780.0950.2420.1680.2690.3330.2900.2240.384
Maritime/Shipping (y/n)0.1070.1890.1730.2920.1520.2490.0000.1660.1710.1220.0950.1410.2290.1470.0990.2190.0000.1930.2450.1100.0530.2130.2020.1660.1610.1180.0000.1130.1260.2090.2480.1970.2310.1940.1050.0000.1960.0000.2010.0180.2060.0490.1950.0900.1410.1500.2190.2250.0890.1830.1561.0000.1790.2400.2030.1610.2270.1660.0840.2750.2380.2070.0980.0000.0000.0000.2090.2040.0540.1270.0000.0810.0900.2190.0820.1910.1650.2490.2370.2350.1930.1890.1350.2270.1920.2650.1710.0850.249
Mezzanine PD (y/n)0.3280.1730.2860.1640.1560.2840.1170.3510.3130.2240.3680.1360.3350.3180.1640.2640.2160.4500.3660.3630.2510.3930.2360.4210.2370.0940.1880.2400.1520.2980.3800.2180.3430.2500.1230.3360.3220.2790.2060.2590.3160.2320.2260.1730.2380.3560.5090.3330.4250.3430.2550.1791.0000.1850.2670.2760.4080.4340.1880.4220.3660.3600.1750.1110.3620.3060.3170.3270.2390.2280.2450.2130.3190.2560.1660.2350.3460.4450.3220.4440.3930.2680.2490.3100.4500.4440.2180.2850.355
Natural Ressources (y/n)0.2540.3470.1670.1500.1710.1720.1170.1770.1580.0760.2130.2460.2560.2220.1020.2620.1090.2540.2450.1570.1710.2920.1850.1770.1330.0850.0980.0400.0860.2800.2160.2460.3150.2290.0640.1090.2210.1380.1740.1480.2250.2270.2500.0760.2000.1780.2240.2690.2210.2180.1490.2400.1851.0000.2090.2360.2130.2810.1970.2910.3030.2230.1130.0000.0570.2040.2380.2810.1800.2520.1490.1660.0980.2240.1790.1520.2960.2430.1980.2860.1690.2870.1690.1350.2590.2860.1210.1620.188
Office (y/n)0.2810.2390.1900.1880.1510.2450.1150.2110.2940.1150.3550.1900.3860.3260.1010.2680.2650.2910.2160.2570.2660.1900.1600.3150.1490.1270.1560.1310.1690.2060.2580.2320.3220.1800.0700.2390.1790.2120.1780.2100.3030.2380.2660.1870.1900.2580.3450.2500.2180.3940.1760.2030.2670.2091.0000.2180.2640.3000.0540.3060.3360.2470.2170.1060.2560.2000.3500.3700.1290.2260.1510.1890.2160.2990.2630.2800.2630.3240.2230.3310.3080.3180.1850.2190.3580.4190.0910.1240.234
Open-ended RE Funds (y/n)0.2280.1560.2350.1120.1650.2110.1550.2420.2670.0990.3480.1950.3630.3320.0820.2920.2540.2620.2790.2020.2220.2380.1810.3480.2160.0930.1500.0000.0510.2620.3060.1640.2890.1740.0790.1950.1830.2150.1560.1950.1990.2610.2570.2100.1600.2410.3810.3230.2440.2890.1310.1610.2760.2360.2181.0000.2040.3970.1710.3520.3090.1870.1570.1290.2590.1560.2920.3070.2680.3140.1590.1480.1930.2410.1620.2070.2700.3330.1700.2930.3290.2890.1420.1500.3810.2930.1230.2060.243
Opportunistic PD (y/n)0.2800.2440.2770.2530.1930.2840.2070.2870.3460.1520.3990.1360.4170.3870.1560.3020.2760.4870.4550.4000.2770.3750.2020.4220.3270.1430.2020.2170.2330.3730.4340.3090.3160.3090.0440.3730.3510.2980.2040.3120.3890.2480.2350.1490.2840.4470.5470.3470.3430.4170.2470.2270.4080.2130.2640.2041.0000.4640.2290.4430.3740.2610.2460.2600.3280.2870.3030.3380.1480.2610.2660.1680.3120.3200.0750.2220.3550.4170.4650.5070.4150.2870.3130.3060.4270.4370.1730.2710.335
Opportunistic RE (y/n)0.3670.2890.3360.2530.2320.3510.2160.3680.3210.1820.4690.1960.4860.4160.2400.3880.3520.4860.4170.4340.2970.4860.3110.4850.3630.2600.2210.2570.1870.4250.4840.3590.4190.3280.1420.4050.3500.3430.2420.3650.3790.3920.3300.2700.3090.3940.6060.4170.4050.4250.2790.1660.4340.2810.3000.3970.4641.0000.2360.4860.4600.2890.2500.1820.4520.3520.3720.3890.2000.2870.3250.2510.3500.3720.2310.2800.4120.4480.4290.4780.4450.4000.3220.3530.5050.4960.1960.3090.371
PD Fund of Funds (y/n)0.1090.1380.1550.0880.1290.1550.0710.2250.2040.1330.2820.1090.1770.1960.1250.1110.1010.2440.2930.2610.1180.2780.1090.2510.2080.1010.1460.0840.1120.3080.2840.2470.0970.1150.0640.1500.1520.1140.1770.1990.2660.0970.1900.1180.1350.2650.3320.2670.1720.1920.1620.0840.1880.1970.0540.1710.2290.2361.0000.2970.2330.2340.0560.0560.0000.1470.1280.1780.1390.1460.0880.1300.1690.1930.0000.0480.2000.2950.3060.2760.2530.1320.1530.0970.3050.2470.1650.2010.222
PD Funds (y/n)0.3010.2450.3550.2500.2890.3600.2040.3660.3660.1850.4570.1280.4190.4420.1580.3900.3300.4270.4900.3830.3120.4690.3360.4860.3490.2270.2410.2650.2420.4470.4590.3150.3830.2820.1350.4000.4060.3610.3300.3150.4130.2620.2860.1960.3100.4670.6240.4040.4200.4460.2720.2750.4220.2910.3060.3520.4430.4860.2971.0000.4590.3750.1930.1460.3920.3590.3670.3480.2020.3300.3120.1630.3530.3660.1760.2270.4290.5110.4230.4800.4570.3200.2980.2910.5390.4630.2070.3330.394
PE Co-Investment0.3790.1910.4360.2250.2370.4360.2640.4070.3900.2390.5020.0810.3570.3600.1980.3750.3860.4870.4820.5100.3130.3650.2830.5010.3810.2920.2520.3320.2520.4700.5020.4330.4240.4650.1830.4870.4930.4690.2410.4130.4740.3320.2490.3300.2950.4540.6910.3550.4820.3870.4030.2380.3660.3030.3360.3090.3740.4600.2330.4591.0000.3800.2410.0420.5390.5090.3120.3600.1590.3230.4010.2650.3760.2980.1960.2740.4660.4450.5510.5400.5170.3280.2930.2620.5660.5310.3710.3650.502
PE Fund of Funds (y/n)0.2070.0920.2040.1710.1450.2600.0770.3190.2760.1960.3340.0150.2160.1910.1310.1620.1940.3350.3350.3990.1780.2870.1790.3280.2440.1240.1860.2380.1340.3350.3410.3000.2550.2710.0210.3040.3470.2170.1870.2220.2800.1460.1520.1910.2100.3000.3770.2990.3020.2160.3090.2070.3600.2230.2470.1870.2610.2890.2340.3750.3801.0000.0930.0100.2730.2900.2080.2550.1880.2630.1950.1400.2760.2180.0890.1040.3240.3400.3010.2880.2890.1860.1910.2250.3800.3590.3180.2500.352
Parking (y/n)0.2340.1010.1170.2100.1760.1530.0000.1420.1820.0440.2450.1500.2470.2040.1100.3460.0000.2240.1560.1920.0880.2650.2700.2110.1660.2720.0000.0830.1850.1430.1500.1810.3330.1040.1310.0000.1550.0000.1620.0000.1340.3330.0810.2640.1650.2140.2430.1230.1430.2860.2270.0980.1750.1130.2170.1570.2460.2500.0560.1930.2410.0931.0000.1220.0000.0000.2470.2470.0560.1410.0000.0690.0000.1920.2290.2360.1190.2200.1990.2580.1840.1590.1490.2700.2150.2820.0990.1250.151
Philantrophy (y/n)0.0000.1460.0000.0850.0750.1020.1360.0100.1610.0770.0590.0000.2220.2110.0000.1350.1050.1830.1740.0610.0000.0790.0000.2920.0000.0000.0000.0530.0860.0960.1830.0000.0950.0000.0000.0690.0000.1450.1050.0910.1630.0000.2550.0520.0000.0840.4850.2160.1860.2650.0000.0000.1110.0000.1060.1290.2600.1820.0560.1460.0420.0100.1221.0000.0530.2350.1670.1170.0000.0000.0870.1510.0890.1530.0000.0000.0000.2590.0650.2160.2730.1430.0350.0320.1980.1120.0000.0300.000
Private Debt (y/n)0.0000.0810.3790.0000.0000.2760.4020.3270.4750.0000.4650.0000.2560.2790.0000.1750.2630.4140.4470.4460.3480.2850.0570.5800.2300.0000.2690.2030.0000.3640.4710.3320.2840.3000.0000.5730.3820.4580.1860.6370.5050.1570.2040.1850.0000.4780.5090.3160.5780.3690.2970.0000.3620.0570.2560.2590.3280.4520.0000.3920.5390.2730.0000.0531.0000.5030.2690.2990.0000.2340.4790.4430.5130.3220.0000.1070.3540.2550.4130.4460.5780.2270.0260.1330.5890.4680.3000.2570.411
Private Equity (y/n)0.0000.1370.3670.0550.1980.2610.4420.3290.3920.1730.4080.0000.2520.1990.0000.1780.4870.3830.3770.4380.3930.2780.1640.5190.2950.0620.5510.2450.1320.3370.4200.3670.2720.3090.0000.5680.3870.4150.2220.3850.4580.1750.1470.2150.2200.3400.4930.2550.4690.3200.2510.0000.3060.2040.2000.1560.2870.3520.1470.3590.5090.2900.0000.2350.5031.0000.2790.2420.0320.2020.4180.5190.6070.2870.0000.1330.3670.2140.4160.4180.5060.1350.2110.2210.4780.4190.3270.2960.427
RE Debt (y/n)0.2320.2010.1840.1840.2240.2540.1810.2430.3030.0910.3610.1930.4190.3010.1090.3010.2120.3300.2480.3210.2590.3900.2150.3390.2670.1540.1260.1260.1620.3420.2800.1890.2680.2030.0650.2420.2820.2210.2690.2050.2280.2560.3200.0970.2610.2560.3200.3430.2590.3670.1350.2090.3170.2380.3500.2920.3030.3720.1280.3670.3120.2080.2470.1670.2690.2791.0000.4970.2140.2570.1470.2000.2820.3830.2570.2320.2880.3730.2380.3560.3540.2860.1550.2270.3660.4170.1440.2110.183
RE Equity (y/n)0.2950.2400.1630.2200.1770.2690.2200.2550.3160.1450.3440.2600.4530.2610.0990.3090.2190.3370.3160.3450.3160.3610.2270.3420.2400.1170.1450.0880.1770.2550.3200.2790.3560.1780.1070.2220.2270.2640.2640.2440.2340.3270.3060.1440.2600.3170.3590.3520.2790.4010.1620.2040.3270.2810.3700.3070.3380.3890.1780.3480.3600.2550.2470.1170.2990.2420.4971.0000.2410.2590.2030.2390.2430.3550.2640.2460.2670.3310.2550.3530.3900.3290.2280.2000.4220.4150.2250.1850.212
RE Fund of Funds (y/n)0.1450.0560.1090.0840.0000.0650.1150.1410.1990.0670.1740.1300.2510.1260.0000.0870.0630.1480.2080.1440.1190.1730.0000.1790.0540.0000.0950.0000.0420.2070.0470.0710.0910.0560.0000.0000.0920.0000.1340.1180.1230.1200.1600.0380.0000.1520.1070.2600.1520.0870.0770.0540.2390.1800.1290.2680.1480.2000.1390.2020.1590.1880.0560.0000.0000.0320.2140.2411.0000.1930.0000.1330.1240.1540.0400.1020.2090.1820.0410.1070.1360.1560.0770.0760.1970.1740.0000.1270.117
RE Secondaries (y/n)0.1820.1710.2980.0960.1810.1600.0360.2920.2290.1330.3330.1250.2960.2330.1530.1970.2000.3160.2620.2670.1600.3040.0680.2510.2820.0770.1360.1830.1540.2350.2240.2820.2230.2600.0560.1640.2330.2780.1850.1940.2200.1620.1990.1380.2250.2700.3190.2600.2340.2150.1770.1270.2280.2520.2260.3140.2610.2870.1460.3300.3230.2630.1410.0000.2340.2020.2570.2590.1931.0000.0000.0870.1970.2550.1920.0710.3420.2690.2640.2630.2420.2750.1070.1720.3300.3210.1800.2220.242
Real Assets (y/n)0.0000.0780.2070.0000.0410.2660.4280.1890.3600.0000.2710.0000.2600.1970.0000.1490.5230.3020.3520.3020.4360.2110.0000.4910.1440.0640.2150.0860.0000.2700.3710.2290.2350.1760.0000.6590.2950.3420.1680.4430.4510.0760.2320.1240.0000.2770.3900.2160.3680.2910.2060.0000.2450.1490.1510.1590.2660.3250.0880.3120.4010.1950.0000.0870.4790.4180.1470.2030.0000.0001.0000.3650.5030.2330.0000.0000.2220.2130.3480.4170.4920.1570.1630.1070.4550.3250.0950.1670.330
Real Estate (y/n)0.0670.0840.1840.0990.0340.1650.2120.1990.2650.0810.2880.0870.1940.1550.0450.1280.2290.2360.1810.2770.6860.1530.1240.2940.1600.0000.1960.1880.0870.2060.2300.2400.1800.2190.0000.2780.2160.6640.1430.2900.2670.1780.1200.1340.1390.2110.3050.1600.2340.1790.1810.0810.2130.1660.1890.1480.1680.2510.1300.1630.2650.1400.0690.1510.4430.5190.2000.2390.1330.0870.3651.0000.6870.1620.1040.1440.2220.1550.2720.2230.2290.1610.1110.1160.2950.3530.2100.1470.292
Real Estate Funds (y/n)0.0000.0000.2340.0000.0810.1700.6060.2500.4730.0000.3200.0000.2870.2440.0000.1470.4300.3970.4140.3560.3830.2590.0000.4870.1800.0000.4730.1350.0000.2650.3700.2560.1950.2400.0000.4390.3140.4650.2110.4060.4490.0260.1890.1070.1050.3540.4030.2830.3110.2540.1690.0900.3190.0980.2160.1930.3120.3500.1690.3530.3760.2760.0000.0890.5130.6070.2820.2430.1240.1970.5030.6871.0000.2390.0840.0000.3360.1880.3600.3690.4850.2090.0000.1640.4630.4120.2140.1740.333
Renewables (y/n)0.2420.1700.2260.1740.2230.3300.2200.2180.3000.1360.3350.1730.4100.3040.0860.2790.2660.3730.3350.2930.2570.2870.1720.3810.2460.2030.2040.1780.2060.2900.3040.2310.2720.2310.1260.2730.2980.2740.3600.3050.3490.2650.2810.2810.1730.3090.4180.3610.3140.3920.1960.2190.2560.2240.2990.2410.3200.3720.1930.3660.2980.2180.1920.1530.3220.2870.3830.3550.1540.2550.2330.1620.2391.0000.1170.2310.2290.3600.3080.3890.4280.3450.2430.2350.4160.4070.1390.1900.344
Residential (y/n)0.2770.2000.0930.1250.1890.1120.0000.0510.1380.0000.1440.1640.2570.2400.0570.2090.0000.2000.1070.1030.0500.1840.2520.1570.0970.0820.0000.0000.0890.0890.0880.1530.3120.0980.1000.0000.0400.1080.1900.0000.0460.2110.2120.0000.1910.1840.1520.1400.0970.1970.0700.0820.1660.1790.2630.1620.0750.2310.0000.1760.1960.0890.2290.0000.0000.0000.2570.2640.0400.1920.0000.1040.0840.1171.0000.3130.0770.2280.1250.1170.1860.2220.0580.1020.1910.2480.0640.0440.117
Retail/Shopping (y/n)0.2740.2320.1470.1830.1920.2220.0000.1350.1740.1300.2160.1700.2520.2410.1000.2760.0640.2750.1830.2150.1330.1660.2580.1820.1740.0660.1240.1570.1640.2150.1960.2830.3650.2030.1430.0150.1060.0360.2420.1410.1690.3390.2430.0600.1180.2340.2960.2200.2150.3260.2350.1910.2350.1520.2800.2070.2220.2800.0480.2270.2740.1040.2360.0000.1070.1330.2320.2460.1020.0710.0000.1440.0000.2310.3131.0000.1590.2500.2190.2240.2590.2560.1400.2410.2790.3240.1870.0790.216
Secondaries (y/n)0.2910.1850.3130.1050.1370.2800.1670.3600.2440.2160.3640.1580.2970.2980.1670.2410.3080.4730.3820.3340.2450.3700.2390.3710.2750.1510.2460.2580.1390.4120.3630.3540.2470.2930.1030.3550.3330.3110.2590.2770.3470.2720.2130.2230.2840.3810.4700.3120.3590.2600.2880.1650.3460.2960.2630.2700.3550.4120.2000.4290.4660.3240.1190.0000.3540.3670.2880.2670.2090.3420.2220.2220.3360.2290.0770.1591.0000.3880.4100.3870.3080.2760.2660.2420.4350.4410.2240.3160.342
Senior PD (y/n)0.1930.2560.3020.2030.2440.3310.1420.3700.3970.1970.4480.2700.4550.3740.0710.3330.2250.4490.4440.3860.2040.3880.2480.5180.2690.1710.1780.2390.1390.4310.5100.2620.4000.3340.1230.2680.3450.2230.2650.2330.4670.2980.2950.2150.2700.4460.4050.3880.2880.4390.2680.2490.4450.2430.3240.3330.4170.4480.2950.5110.4450.3400.2200.2590.2550.2140.3730.3310.1820.2690.2130.1550.1880.3600.2280.2500.3881.0000.4220.4830.4890.2770.2640.2840.5190.5110.1620.2810.399
Software (y/n)0.3250.1980.4440.2220.2510.4120.2480.4690.3270.2420.4270.1450.2910.3860.2280.3250.3120.4840.5190.4830.2530.3870.2720.4390.4160.3000.2670.3070.2370.3730.5410.4310.4270.3760.1310.4520.5150.3740.1930.3600.4410.2240.1790.3690.3260.5330.6570.3470.4120.3800.3430.2370.3220.1980.2230.1700.4650.4290.3060.4230.5510.3010.1990.0650.4130.4160.2380.2550.0410.2640.3480.2720.3600.3080.1250.2190.4100.4221.0000.5540.4210.2640.3100.3120.4920.5010.3510.3250.549
Special Situations/Distressed (y/n)0.3380.2530.3870.2100.2970.3900.2790.4040.3440.2110.4620.2240.3910.3780.2200.3150.4100.5210.5150.4400.3300.4740.2860.4910.3500.3000.2760.2850.2200.3800.5010.3570.3960.3100.1230.4500.4370.3970.2540.4100.4590.2950.2510.3060.2920.4750.7080.3370.4760.4890.3430.2350.4440.2860.3310.2930.5070.4780.2760.4800.5400.2880.2580.2160.4460.4180.3560.3530.1070.2630.4170.2230.3690.3890.1170.2240.3870.4830.5541.0000.4840.3530.3340.3640.5360.4990.2400.3380.491
Sustainability (y/n)0.3250.2280.3330.1910.2430.3770.3720.3430.4810.1740.3930.2240.4080.3510.1360.3000.4220.4330.4400.4100.4080.3070.2090.6030.3000.2080.2730.2180.0830.3800.4700.2970.3640.3020.1060.5230.3550.4800.2800.4600.4750.2820.2850.2490.2240.3840.6860.3760.5100.4460.2780.1930.3930.1690.3080.3290.4150.4450.2530.4570.5170.2890.1840.2730.5780.5060.3540.3900.1360.2420.4920.2290.4850.4280.1860.2590.3080.4890.4210.4841.0000.3060.2640.2340.5380.4410.2260.2360.401
Timber (y/n)0.2240.2150.1730.1510.1410.2910.1600.1670.2670.0000.2230.2220.3850.2750.0750.2490.1790.3110.2850.1970.1970.2240.0680.2810.1770.0950.1360.1140.0000.2730.2480.2150.3040.1630.0710.1950.1400.2100.2550.2070.2470.2700.2550.1330.1750.3070.3760.3250.2620.3020.0950.1890.2680.2870.3180.2890.2870.4000.1320.3200.3280.1860.1590.1430.2270.1350.2860.3290.1560.2750.1570.1610.2090.3450.2220.2560.2760.2770.2640.3530.3061.0000.0630.1380.3460.3620.1270.1640.142
Tourism, Parks & Leisure (y/n)0.2030.1230.2360.1390.1810.2180.0000.2700.1790.2480.2190.0520.2830.2460.1960.2010.1280.2480.2840.3160.1210.2540.2110.2380.2580.2290.1160.2370.1430.3350.2670.2700.2910.2570.2070.0000.3090.1240.1360.1400.2990.2620.1410.2040.2500.2570.3680.2230.1860.2690.2420.1350.2490.1690.1850.1420.3130.3220.1530.2980.2930.1910.1490.0350.0260.2110.1550.2280.0770.1070.1630.1110.0000.2430.0580.1400.2660.2640.3100.3340.2640.0631.0000.1860.2870.2950.1430.1820.319
Unitranche (y/n)0.2860.1770.2530.2200.1930.2640.0000.3230.1340.1710.2810.1270.2560.1920.2060.2890.1060.3370.2850.2970.1820.3990.2280.2670.3410.1830.1000.2270.2340.2410.2970.2460.2970.2130.1490.2550.2620.0930.2030.1620.1840.2510.1110.2930.2410.2780.3400.1170.2450.2520.1680.2270.3100.1350.2190.1500.3060.3530.0970.2910.2620.2250.2700.0320.1330.2210.2270.2000.0760.1720.1070.1160.1640.2350.1020.2410.2420.2840.3120.3640.2340.1380.1861.0000.2840.3640.1610.2150.283
Unlisted RE Funds (y/n)0.3800.2410.3700.2440.2740.4340.3270.3800.4360.2070.4880.1700.4510.4520.1780.4060.4130.5070.5490.4630.4460.4390.2600.5320.3200.2290.2790.2580.1810.4530.4920.3970.4030.3070.1310.5560.4280.4970.3550.4130.5200.3470.3400.3090.2440.4950.7130.4560.5530.4260.2690.1920.4500.2590.3580.3810.4270.5050.3050.5390.5660.3800.2150.1980.5890.4780.3660.4220.1970.3300.4550.2950.4630.4160.1910.2790.4350.5190.4920.5360.5380.3460.2870.2841.0000.5270.2550.2970.457
Value added RE (y/n)0.4030.2430.3420.2000.2770.3450.2820.4570.3770.2240.5150.1890.4700.4040.2050.3700.3660.5300.4440.4660.3970.4200.3210.4690.3690.2310.2830.2960.2590.3800.5010.3750.4410.3810.1710.5080.4460.3630.2990.4100.4190.3150.2690.2660.3030.4930.6160.3190.4770.4710.3330.2650.4440.2860.4190.2930.4370.4960.2470.4630.5310.3590.2820.1120.4680.4190.4170.4150.1740.3210.3250.3530.4120.4070.2480.3240.4410.5110.5010.4990.4410.3620.2950.3640.5271.0000.2770.2990.491
Venture Capital (y/n)0.2350.0650.2620.1650.2480.2580.0000.2360.1830.2060.2460.0000.0640.0700.1890.1090.1200.2620.2080.3580.1360.2370.1600.2450.2980.1830.1710.2650.1920.2960.3360.3960.2050.3240.1570.2110.3110.2500.1860.1820.2540.1300.1090.2820.1890.2400.4020.1750.2370.1420.2900.1710.2180.1210.0910.1230.1730.1960.1650.2070.3710.3180.0990.0000.3000.3270.1440.2250.0000.1800.0950.2100.2140.1390.0640.1870.2240.1620.3510.2400.2260.1270.1430.1610.2550.2771.0000.2980.339
Venture Debt (y/n)0.2300.1300.3180.1140.2670.2790.0000.3080.1750.2510.3050.0700.1620.1870.2210.2240.1720.3020.2880.3010.1120.3450.2640.2690.2850.2550.1550.2010.1900.3710.3590.3120.1730.3440.1300.2340.3340.1760.2570.2030.2530.2260.1770.2230.2500.3400.4380.1820.2250.2270.2240.0850.2850.1620.1240.2060.2710.3090.2010.3330.3650.2500.1250.0300.2570.2960.2110.1850.1270.2220.1670.1470.1740.1900.0440.0790.3160.2810.3250.3380.2360.1640.1820.2150.2970.2990.2981.0000.336
eCommerce (y/n)0.3200.1300.4150.2140.2670.4050.2120.3960.2900.2450.4340.1010.2450.3070.2400.3210.3330.4410.5020.4430.3050.3870.3510.4520.3750.2580.2990.3300.2620.3740.4550.4370.3830.4360.1230.4210.4980.3490.2850.3270.3570.2440.1020.3730.3410.3990.6450.2590.4420.3240.3840.2490.3550.1880.2340.2430.3350.3710.2220.3940.5020.3520.1510.0000.4110.4270.1830.2120.1170.2420.3300.2920.3330.3440.1170.2160.3420.3990.5490.4910.4010.1420.3190.2830.4570.4910.3390.3361.000

Missing values

2024-02-09T18:27:12.901898image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
A simple visualization of nullity by column.
2024-02-09T18:27:15.023182image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-02-09T18:27:17.890415image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Account IDWebsiteAccount NameList of originParent AccountChecked for database clean-upTypeSub-TypeAUM StatedBilling CountryBilling CityAbout UsInvestment FocusBond Investments (y/n)Direct Bond Investments (y/n)Indirect Bond Investments (y/n)Equities/Stocks (y/n)Loans (y/n)Real Estate (y/n)Direct Real Estate (y/n)Real Estate Funds (y/n)RE Fund of Funds (y/n)Close-ended RE Funds (y/n)Open-ended RE Funds (y/n)Listed RE Funds (y/n)Unlisted RE Funds (y/n)RE Debt (y/n)RE Equity (y/n)Residential (y/n)Office (y/n)Logistics (y/n)Retail/Shopping (y/n)Parking (y/n)Industrial (y/n)Healthcare RE (y/n)Accomodation/Assisted Living (y/n)Datacenter (y/n)Core RE (y/n)Core+ RE (y/n)Distressed RE (y/n)Opportunistic RE (y/n)Value added RE (y/n)RE Secondaries (y/n)Private Equity (y/n)Direct PE (y/n)Indirect PE (y/n)Buy-out (y/n)Venture Capital (y/n)Venture Debt (y/n)Secondaries (y/n)Special Situations/Distressed (y/n)Artificial Intelligence (y/n)Blockchain (y/n)Crypto (y/n)Fashion (y/n)Finance (y/n)Fintech (y/n)Healthcare/Pharmaceutical (y/n)Internet of Things (y/n)IT (y/n)Jewelry/Lifestyle (y/n)Software (y/n)FMCG (y/n)Food/Nutrition (y/n)Agriculture (y/n)eCommerce (y/n)Heavy Engineering (y/n)Electrical Engineering (y/n)Chemical (y/n)Manufacturing (y/n)Educational (y/n)Tourism, Parks & Leisure (y/n)PE Fund of Funds (y/n)PE Co-InvestmentPrivate Debt (y/n)Junior PD (y/n)Senior PD (y/n)Mezzanine PD (y/n)Distressed PD (y/n)Opportunistic PD (y/n)Direct Lending (y/n)Direct Lending Fund (y/n)PD Funds (y/n)PD Fund of Funds (y/n)Unitranche (y/n)Hedge Funds (y/n)Real Assets (y/n)Infrastructure (y/n)Natural Ressources (y/n)Commodities (y/n)Capital Assets (y/n)Aviation (y/n)Maritime/Shipping (y/n)Timber (y/n)Renewables (y/n)Impact Investing (y/n)Impact Investments (y/n)ESG (y/n)Blended Finance (y/n)Philantrophy (y/n)Sustainability (y/n)Preferred Region of Investment
0NaNNaNUnion Asset Management Holding AGFoF infra+private equityNaNNaNNaNNaNNaNNaNNaNUnion Asset Management Holding AG is a reputable financial services company offering a wide range of investment products and services. The company specializes in wealth management, with a focus on providing customized investment solutions that align with each client's financial goals. Additionally, Union Asset Management is known for its expertise in real estate investment, offering opportunities for investors to participate in various real estate markets. The company also has a strong presence in fixed income, offering investment strategies that aim to provide stable and consistent returns. Furthermore, Union Asset Management has a robust private equity division, providing access to investment opportunities in privately held companies with high growth potential. Overall, the company's diversified investment offerings and strong track record make it an attractive option for investors seeking comprehensive wealth management solutions.Union Asset Management Holding AG primarily focuses on investing in a diverse range of asset classes, including equities, fixed income securities, and alternative investments such as derivatives and commodities. The company's investment strategy involves identifying opportunities within the global market to allocate capital across different sectors and geographies. Additionally, Union Asset Management Holding AG aims to achieve value through a systematic and research-driven approach to portfolio management, utilizing both fundamental and quantitative analysis. Furthermore, the company places a strong emphasis on risk management and seeks to optimize risk-adjusted returns for its clients. Finally, Union Asset Management Holding AG is committed to providing tailored investment solutions that align with the long-term objectives and risk profiles of its diverse client base.FALSETRUETRUETRUETRUEFALSETRUETRUEFalseTrueTrueFalseTrueTrueFalseFalseFalseTrueTrueFalseFalseTrueFALSEFalseTrueTrueFalseTrueTrueTrueTRUEFalseTrueFalseFalseFalseFalseFalseFalseTrueFalseFalseTrueTrueTrueFalseTrueFalseTrueTrueFalseTrueFalseFalseTrueFalseFalseTrueFalseFalseTrueTRUETrueTRUEFalseFalseFalseTrueFalseTrueFalseFalseTRUEFALSETrueFalseFalseTrueTrueTrueTrueTrueTRUEFalseTrueFalseFalseTrueGermany, Austria
1NaNNaNBNP PARIBAS ASSET MANAGEMENT HoldingFoF infra+private equityNaNNaNNaNNaNNaNNaNNaNBNP Paribas Asset Management Holding is a leading global asset manager with a presence in over 30 countries and a diversified client base. The company offers a wide range of investment solutions tailored to meet the needs of their clients, including institutional investors, corporates, high-net-worth individuals, and retail investors. They have a strong focus on sustainable investing, with a commitment to integrating environmental, social, and governance (ESG) factors into their investment processes. The company is also engaged in wealth management, offering a comprehensive suite of solutions to meet the diverse financial needs of their clients. Additionally, BNP Paribas Asset Management Holding has a significant presence in real estate, fixed income, and private equity, offering a broad array of investment opportunities across these asset classes. Their robust global reach and extensive investment capabilities make them a strong contender for investors seeking a reliable and diversified asset management partner.BNP Paribas Asset Management holds a robust focus on diverse asset classes such as equities, fixed income, multi-asset solutions, and smart beta strategies. The company also specializes in actively managing alternative investments including hedge funds, private credit, and structured finance. With a global perspective, they invest across various regions and sectors, allowing for a well-rounded and diversified portfolio. Additionally, BNP Paribas Asset Management holds a strong emphasis on sustainable investing, integrating environmental, social, and governance (ESG) factors into their investment decisions. Their investment focus also underscores a commitment to delivering long-term value for their clients, through a combination of fundamental analysis, quantitative expertise, and macroeconomic insights.TRUETRUETRUEFALSETRUETRUETRUETRUETrueTrueTrueTrueTrueTrueTrueFalseTrueTrueTrueFalseTrueTrueFALSETrueTrueFalseFalseTrueTrueTrueTRUEFalseTrueFalseTrueTrueTrueTrueTrueFalseFalseTrueTrueTrueTrueFalseFalseFalseTrueFalseTrueTrueFalseFalseFalseFalseFalseTrueFalseTrueTrueTRUETrueTRUETrueTrueTrueTrueFalseTrueTrueTrueTRUETRUETrueTrueTrueTrueFalseTrueTrueTrueTRUEFalseTrueFalseFalseTrueLuxembourg, France, Germany, United States, United Kingdom, Japan, China, Belgium, Italy, Netherlands, Switzerland, Hong Kong, Spain, Canada, Sweden, Australia, Singapore, South Korea, Denmark, Finland
2NaNNaNArdian (Germany)FoF infra+private equityNaNNaNNaNNaNNaNNaNNaNArdian is a global leader in alternative asset management with a strong presence in Germany. The company's investment focus is on private equity, infrastructure, real estate, and private debt, making it an attractive investment opportunity for those interested in these asset classes. In addition to its traditional investment offerings, Ardian also has a robust wealth management business, providing comprehensive financial advisory services and investment solutions to high-net-worth individuals and families in Germany. Ardian's strong foothold in the German market, coupled with its diverse portfolio of investment strategies and its commitment to responsible and sustainable investing, positions the company as an attractive option for investors looking to diversify their portfolio and generate long-term returns. With a history of successful investments and a reputation for excellence, Ardian is a compelling choice for investors seeking exposure to the dynamic and growing German market.Ardian, a renowned investment company based in Germany, has a focused investment strategy centered around a diverse range of asset classes. The company strategically invests in a variety of sectors such as infrastructure, real estate, and renewable energy projects, with a strong emphasis on sustainable and long-term growth opportunities. Additionally, Ardian is actively involved in the alternative investment space by participating in opportunities such as venture capital and distressed debt, offering a broad spectrum of investment options to their clients. Their asset class focus also extends to the field of private credit, where they actively seek out opportunities in the credit markets, leveraging their expertise to generate value for their investors. Furthermore, Ardian's investment approach is characterized by a keen eye for opportunities in mature companies, ensuring a well-rounded and comprehensive approach to their investment strategy.FALSEFALSETRUEFALSEFALSEFALSEFALSETRUETrueTrueTrueFalseTrueTrueTrueFalseFalseTrueFalseFalseTrueTrueFALSETrueTrueTrueTrueTrueTrueFalseTRUETrueTrueTrueFalseTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueFalseTrueTrueTrueTrueTrueFalseTrueFalseFalseTrueTrueTrueTrueTrueTrueTRUETrueTRUETrueTrueTrueTrueTrueTrueTrueTrueTRUETRUETrueFalseFalseFalseFalseTrueFalseTrueFALSETrueTrueTrueFalseTrueFrance, Italy, Spain, United Kingdom, United States
3NaNNaNArdianFoF infra+private equityNaNNaNNaNNaNNaNNaNNaNArdian is a global private investment firm that focuses on investing in a wide range of asset classes, including private equity, real estate, infrastructure, and private debt. The company has a strong track record of successfully generating long-term value for its investors through its disciplined investment approach and strategic management of its diverse portfolio. Ardian has a strong focus on sustainability and responsible investing, with a dedicated team that is committed to integrating environmental, social, and governance (ESG) criteria into its investment processes. The company also has a significant presence in the wealth management space, offering a range of investment solutions to high-net-worth individuals, family offices, and institutions. Overall, Ardian is well-positioned to take advantage of global investment opportunities and deliver strong returns to its investors across a range of asset classes.Ardian is a global investment firm that concentrates on a diverse set of assets across the private market landscape. The firm focuses on deploying capital in a range of investment vehicles, including buyouts, infrastructure, and credit. Ardian also invests in indirect fund investments and co-investments across various sectors and geographies. Additionally, the firm pursues mezzanine and direct debt opportunities to generate returns for its investors. Through its comprehensive approach, Ardian provides opportunities for diversification and value creation across different asset classes in the private market.FALSETRUETRUETRUETRUEFALSETRUETRUEFalseTrueFalseFalseTrueFalseFalseTrueTrueTrueTrueFalseTrueTrueTRUEFalseFalseTrueTrueTrueTrueFalseTRUETrueTrueTrueFalseFalseTrueTrueTrueTrueFalseTrueFalseTrueTrueFalseTrueFalseTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTRUETrueTRUETrueTrueTrueTrueTrueTrueFalseTrueTRUETRUETrueFalseFalseTrueFalseFalseFalseTrueTRUETrueTrueTrueTrueTrueFrance, United States, United Kingdom, Germany, Italy, Spain, China
4NaNNaNArdian (Switzerland)FoF infra+private equityNaNNaNNaNNaNNaNNaNNaNArdian is a leading global private investment company with an extensive portfolio of investments in a variety of sectors including infrastructure, real estate, and private equity. The company has a strong presence in Switzerland with a focus on providing growth capital and buyout investments to businesses in the region. Ardian has a well-established track record of successful investments and a strong network of partners in Switzerland, making it an attractive option for potential investors looking to enter the Swiss market. Their wealth management business has been known for its innovative and diversified strategies, giving investors access to a wide range of investment opportunities. Additionally, Ardian has a strong expertise in real estate and fixed income, with a focus on generating consistent, long-term returns for their investors.Ardian, based in Switzerland, has a diverse investment focus that encompasses a wide range of asset classes, including infrastructure, funds of funds, co-investments, and secondary investments. The company seeks to invest in infrastructure projects that have the potential to generate stable, long-term cash flows, with a particular emphasis on sectors such as transportation, energy, and utilities. In addition, Ardian actively engages in funds of funds, aiming to create diversified portfolios of private equity and other alternative investments. Co-investments represent another key area of focus for Ardian, as the company looks to partner with other investors in direct investments in private companies, complementing its primary private equity investment strategy. Lastly, Ardian's investment focus also extends to secondary investments, where the company acquires existing stakes in private equity funds or portfolios of companies from other investors, thereby providing liquidity and portfolio diversification opportunities for existing investors.FALSEFALSETRUETRUEFALSETRUEFALSETRUETrueTrueFalseFalseTrueTrueFalseFalseFalseTrueTrueFalseTrueTrueFALSEFalseFalseTrueFalseTrueTrueTrueTRUETrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueFalseTrueTrueTrueTrueTrueTrueTRUETrueTRUETrueTrueTrueTrueTrueTrueFalseTrueTRUETRUETrueTrueFalseTrueFalseFalseFalseTrueFALSETrueTrueFalseTrueTrueFrance, Germany, Italy, Spain, United Kingdom, United States
5NaNNaNPathway Capital Management (UK) LimitedFoF infra+private equityNaNNaNNaNNaNNaNNaNNaNPathway Capital Management (UK) Limited is a leading investment management firm with a focus on alternative investments. The company specializes in providing customized investment solutions for institutional investors and high net worth individuals. Their expertise lies in managing private equity, real estate, and other private market investments. With a strong track record and a global presence, Pathway Capital is highly regarded in the industry for their due diligence and risk management capabilities. The firm's wealth management division offers tailored investment strategies to meet the unique needs of their clients. Additionally, their fixed income investments aim to provide stable returns for investors seeking reliable income streams.Pathway Capital Management (UK) Limited focuses on investing in a diverse range of asset classes, including but not limited to, traditional equity and fixed income securities, real estate, infrastructure, natural resources, and alternative investments. The company aims to achieve broad diversification and strong risk-adjusted returns by allocating capital across different investment opportunities. Their investment focus includes both public and private markets, seeking to capture value wherever it may arise. Pathway Capital Management (UK) Limited's investment strategy is centered around a thorough analysis of global market trends, with a keen focus on identifying potential opportunities in emerging industries and regions. The company aims to create portfolios that encapsulate a blend of investment types, aiming for long-term growth and capital preservation.TRUEFALSETRUETRUETRUETRUEFALSETRUETrueTrueFalseTrueTrueFalseFalseFalseTrueTrueFalseFalseFalseTrueFALSEFalseTrueFalseFalseTrueFalseTrueTRUEFalseTrueTrueTrueFalseTrueTrueTrueFalseFalseFalseTrueFalseTrueTrueTrueFalseTrueFalseTrueFalseTrueFalseFalseFalseTrueTrueTrueTrueTrueTRUEFalseFALSETrueFalseTrueFalseTrueTrueTrueFalseTRUETRUETrueFalseFalseTrueFalseFalseTrueTrueTRUEFalseTrueFalseFalseTrueNaN
6NaNNaNUBS Asset Management Real Estate & Private Markets (REPM)FoF infra+private equityNaNNaNNaNNaNNaNNaNNaNUBS Asset Management Real Estate & Private Markets (REPM) is a leading global real estate and private markets investment manager. The company specializes in providing a wide range of investment solutions, including real estate equity and debt, infrastructure, and private equity to institutional and retail investors. UBS Asset Management REPM focuses on generating attractive risk-adjusted returns for its clients by leveraging its deep market knowledge, strong underwriting capabilities, and extensive global network. The company has a proven track record of success, with a highly experienced and skilled team of investment professionals who are dedicated to delivering value to their clients. UBS Asset Management REPM is committed to providing innovative and sustainable investment solutions that meet the evolving needs of its clients and creating lasting value for investors.UBS Asset Management Real Estate & Private Markets (REPM) focuses on investing in a diversified range of real estate assets, including office buildings, retail properties, industrial sites, and residential developments across key global markets. The company also seeks opportunities within the infrastructure sector, such as transportation, utilities, and social infrastructure projects. Its investment strategies emphasize long-term growth potential and capital appreciation, with an emphasis on sustainable and environmentally friendly projects. Additionally, UBS Asset Management REPM may consider alternative investments in areas such as timberland, agriculture, and renewable energy infrastructure, aiming to generate attractive risk-adjusted returns for its clients. The firm consistently seeks to leverage its expertise in property and infrastructure to identify and capitalize on diverse investment opportunities across various geographies and asset types.FALSETRUETRUEFALSEFALSETRUETRUETRUEFalseTrueTrueFalseTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTRUETrueTrueTrueFalseTrueTrueTrueTRUETrueTrueFalseFalseFalseTrueTrueTrueFalseFalseFalseTrueTrueFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueTRUETrueTRUEFalseFalseTrueTrueTrueTrueFalseFalseTRUETRUETrueFalseFalseTrueFalseFalseTrueTrueTRUEFalseTrueFalseTrueTrueNaN
7NaNNaNPantheon Ventures (UK) LLPFoF infra+private equityNaNNaNNaNNaNNaNNaNNaNPantheon Ventures (UK) LLP is a leading global private equity fund investor that has been in operation for over 35 years. The firm focuses on providing institutional investors with access to a diverse range of private equity investment strategies across various stages of growth and market cycles. Pantheon Ventures has a strong track record of investing in primary fund investments, secondaries, and co-investments, allowing them to create a diversified portfolio for their clients. They also provide extensive due diligence and risk management capabilities, ensuring that their investors can make well-informed decisions. In addition to their focus on private equity, Pantheon Ventures also has an active real estate investment program, further diversifying their investment offerings.Pantheon Ventures specializes in investing in a diverse range of asset classes, with a focus on global equities, fixed income, and real estate. They also invest in alternative asset classes such as infrastructure, commodities, and hedge funds. Pantheon Ventures seeks to invest in established companies with strong growth potential, as well as emerging markets with attractive investment opportunities. Their investment focus includes a mix of public and private securities, and they aim to build diversified portfolios that offer consistent long-term returns for their clients. Additionally, the company's investment strategy is centered on thorough research and rigorous due diligence to identify the most promising opportunities across various asset classes.TRUETRUETRUETRUETRUETRUETRUETRUETrueTrueTrueTrueTrueFalseTrueFalseTrueTrueFalseFalseFalseFalseTRUEFalseTrueFalseFalseTrueTrueTrueTRUETrueTrueTrueTrueFalseTrueTrueTrueTrueFalseFalseTrueTrueTrueTrueTrueFalseTrueTrueTrueFalseTrueFalseFalseFalseTrueTrueTrueTrueTrueTRUETrueTRUEFalseTrueTrueTrueTrueTrueTrueFalseTRUETRUETrueTrueFalseTrueTrueTrueTrueTrueTRUETrueTrueTrueFalseTrueNaN
8NaNNaNAmundi Real Assets (ARA)FoF infra+private equityNaNNaNNaNNaNNaNNaNNaNAmundi Real Assets (ARA) is a leading asset management company focusing on real estate, infrastructure, private debt, and private equity. ARA specializes in creating investment opportunities in various real assets, including residential, commercial, and logistics properties as well as infrastructure projects such as renewable energy and transport. With a strong focus on sustainability and responsible investment, ARA aims to create value for its clients while contributing to a more sustainable future. The company leverages its expertise in real assets to provide investors with access to attractive long-term investment opportunities and generate stable, risk-adjusted returns. ARA's wealth management business offers a range of investment strategies tailored to the specific needs and risk profiles of individual and institutional clients, providing them with access to diversified portfolios of real assets.Amundi Real Assets (ARA) specializes in investing in a diverse range of assets, including real estate, infrastructure, and renewable energy projects. The company focuses on acquiring tangible assets with the potential for long-term value appreciation. ARA's investments are typically characterized by stable and predictable cash flows, which align with its long-term investment horizon. The company carefully selects assets that provide both a competitive financial return and a positive environmental or social impact. ARA focuses on identifying attractive investment opportunities across various sectors, such as transportation, utilities, and commercial real estate, leveraging its expertise in asset management to drive value creation.TRUETRUETRUEFALSETRUETRUETRUETRUETrueTrueTrueFalseTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTRUETrueTrueTrueTrueTrueTrueTrueFALSETrueTrueFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTRUETrueTRUETrueTrueTrueTrueTrueTrueFalseFalseFALSETRUETrueTrueTrueTrueFalseFalseTrueTrueFALSETrueTrueTrueFalseTrueFrance
9NaNNaNProvinzial Asset Management GmbH (ProAM)FoF infra+private equityNaNNaNNaNNaNNaNNaNNaNProvinzial Asset Management GmbH (ProAM) is a leading investment management firm based in Germany. The company focuses on providing diverse and innovative investment solutions for individual and institutional clients. ProAM has a strong track record in managing investment portfolios across a wide range of asset classes including equities, fixed income, and real estate. Their deep expertise in wealth management allows them to tailor investment strategies to meet the specific needs of their clients, creating long-term value and growing their clients' assets. With a commitment to delivering exceptional performance and personalized service, ProAM continues to attract investors seeking reliable and profitable investment opportunities.Provinzial Asset Management GmbH (ProAM) focuses on a diverse range of investment opportunities across various asset classes, including equities, fixed income securities, and alternatives such as hedge funds and commodities. The company aims to achieve long-term capital appreciation by carefully selecting investments with solid growth prospects and sustainable income streams. ProAM also seeks opportunities in international markets, providing its clients with a global perspective and exposure to different geographical regions and industries. Moreover, the company actively manages risk by employing hedging strategies and diversification techniques to mitigate potential downsides. With a disciplined and research-based approach, ProAM is committed to delivering consistent and attractive returns for its clients while maintaining a strong emphasis on sustainability and responsible investing practices.TRUEFALSETRUETRUEFALSETRUEFALSETRUEFalseTrueTrueTrueTrueTrueTrueTrueFalseTrueTrueFalseFalseFalseTRUETrueTrueTrueTrueTrueTrueFalseFALSETrueTrueFalseTrueFalseTrueTrueTrueFalseFalseFalseTrueTrueFalseFalseTrueFalseTrueTrueTrueTrueFalseFalseFalseFalseTrueFalseFalseFalseTrueTRUETrueTRUETrueFalseTrueTrueTrueTrueFalseFalseFALSETRUETrueTrueFalseTrueFalseTrueTrueTrueFALSEFalseTrueFalseFalseTrueGermany
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451001D000001hBSbENaNNPF OtkritieP&I CEENaNNaNNaNNaNNaNNaNNaNNPF Otkritie is one of Russia's leading non-state pension funds, with a focus on providing pension savings management services. The company offers a diverse range of investment products, including a variety of wealth management services, real estate investment opportunities, fixed income instruments, and private equity offerings. With a commitment to providing value to its investors, NPF Otkritie has established a strong track record of delivering consistent returns and actively managing risk to ensure the safety of its clients' capital. The company's emphasis on providing a comprehensive suite of investment options, coupled with its expertise in managing a wide range of asset classes, makes it an attractive choice for individuals and institutions looking to enhance their investment portfolios. With a solid reputation for stability and financial prudence, NPF Otkritie continues to be a key player in the Russian pension and investment management industry.NPF Otkritie's investment strategy is focused on a wide range of asset classes, including publicly traded equities, fixed income securities, and alternative investments such as hedge funds and commodities. The company invests in a diversified portfolio of global and emerging market equities, with a long-term focus on value creation and capital appreciation. Its fixed income allocation includes government and corporate bonds, as well as other debt instruments across various sectors and geographies. NPF Otkritie also engages in alternative investments to enhance diversification and capture unique opportunities within the market. The company's investment focus entails rigorous due diligence and risk management processes to mitigate potential downside and maximize upside potential.FALSETRUEFALSETRUETRUEFALSETRUEFALSEFalseTrueTrueTrueTrueTrueFalseFalseTrueTrueTrueTrueFalseTrueFALSETrueTrueFalseFalseFalseTrueTrueFALSEFalseTrueTrueFalseTrueTrueTrueTrueTrueTrueFalseTrueTrueTrueFalseTrueFalseFalseFalseTrueTrueFalseTrueFalseFalseFalseTrueTrueFalseTrueTRUETrueTRUETrueTrueTrueTrueTrueTrueFalseTrueFALSETRUETrueFalseFalseTrueTrueTrueFalseFalseFALSEFalseTrueTrueTrueTrueNaN
452001D000001hBSfpNaNNPF VTB Pension FundP&I CEENaNNaNNaNNaNNaNNaNNaNNPF VTB Pension Fund is a significant player in the Russian pension fund industry. The company provides retirement planning and pension fund management services to clients. They specialize in providing a wide range of investment products, including fixed income securities, equities, and real estate. NPF VTB Pension Fund has a strong focus on wealth management and offers comprehensive financial planning services to their clients. Additionally, the company has a solid track record of performance in the private equity space, making strategic investments that have yielded favorable returns. Their diverse portfolio and expertise in various asset classes make them an attractive opportunity for potential investors looking for exposure to the Russian pension fund industry.NPF VTB Pension Fund focuses its investments in a diverse range of asset classes, including traditional equities and fixed income securities. The fund also allocates capital to alternative investments, such as hedge funds, commodities, and real estate investment trusts, in order to achieve a balanced and well-diversified portfolio. With a focus on preserving and growing pension fund assets over the long term, NPF VTB Pension Fund carefully selects investments with the aim of achieving attractive risk-adjusted returns while managing the overall risk exposure of the portfolio. The fund strategically manages its asset allocations to optimize returns while considering the varying market conditions and investment opportunities. NPF VTB Pension Fund's investment strategy is designed to meet the long-term obligations of its pension fund participants while carefully managing investment risks.TRUEFALSEFALSEFALSEFALSEFALSEFALSEFALSEFalseFalseTrueTrueTrueTrueTrueFalseTrueFalseTrueFalseTrueTrueFALSETrueTrueFalseFalseFalseTrueFalseFALSETrueTrueFalseFalseFalseTrueTrueFalseTrueFalseFalseTrueFalseTrueFalseTrueFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseTrueFALSEFalseTRUEFalseFalseFalseTrueTrueTrueFalseFalseTRUETRUETrueTrueFalseTrueTrueTrueTrueFalseFALSEFalseTrueFalseFalseTrueNaN
453001D000001hBStdNaNNPF TransneftP&I CEENaNNaNNaNNaNNaNNaNNaNNPF Transneft is a non-governmental pension fund that was established to manage the pension savings of Transneft employees. The fund primarily invests in a diversified portfolio of securities, aiming to generate long-term returns for its members. NPF Transneft also offers wealth management services, providing retirement planning, and investment advice to its members. The fund has also shown an interest in real estate investments, with a focus on commercial properties and real estate funds. Additionally, NPF Transneft has made investments in fixed income securities and occasionally into private equity opportunities to diversify its investment portfolio.NPF Transneft is focused on investing in a range of income-generating assets, including publicly traded equities, fixed income securities, and other diversified assets. The company also looks into alternative investment opportunities, such as hedge funds, commodities, and real estate investment trusts (REITs). NPF Transneft seeks opportunities across different geographic regions to diversify its investment portfolio and optimize returns. The company's investment approach is structured around risk-adjusted returns and long-term capital appreciation. NPF Transneft continuously evaluates opportunities in various asset classes to identify those that offer value and align with its investment objectives.FALSETRUETRUETRUEFALSEFALSEFALSEFALSETrueFalseTrueFalseFalseFalseFalseFalseFalseTrueFalseTrueTrueFalseFALSETrueFalseFalseFalseFalseFalseFalseFALSEFalseTrueTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFALSEFalseFALSEFalseFalseFalseFalseFalseFalseFalseFalseFALSETRUETrueFalseFalseTrueFalseFalseFalseFalseFALSEFalseTrueFalseFalseTrueKazakhstan, Belarus, Ukraine, China, Netherlands
454001D000001hAjHwNaNRussian Direct Investment FundP&I CEENaNNaNNaNNaNNaNNaNNaNRussian Direct Investment Fund (RDIF) is a sovereign wealth fund of the Russian Federation that was established for the purpose of making equity co-investments, primarily in Russia's economy. It is focused on making direct investments in leading Russian businesses and attracting foreign investment in the Russian economy. RDIF has a diverse portfolio that includes investments in sectors such as healthcare, technology, logistics, and infrastructure. The fund has successfully co-invested with international partners, including major sovereign wealth funds, pension funds, and leading corporations. RDIF also has a strong focus on responsible investing and sustainability and has supported various initiatives in Russia aimed at promoting ESG principles.The Russian Direct Investment Fund (RDIF) focuses on making strategic investments in various asset classes, including equities, fixed income securities, and other financial instruments, with the goal of generating attractive risk-adjusted returns for its investors. It also seeks opportunities in alternative investments such as hedge funds, commodities, and structured products. Furthermore, RDIF strategically allocates capital across diverse industries and geographic regions to achieve a well-diversified investment portfolio. Additionally, it proactively seeks out opportunities to co-invest with other institutional and strategic partners, leveraging its expertise and network to identify and execute investment opportunities with attractive growth potential. Lastly, RDIF's investment strategy is characterized by a rigorous due diligence process and an active management approach, aiming to add value and enhance the performance of its investment portfolio.FALSETRUETRUEFALSEFALSETRUETRUETRUEFalseFalseFalseFalseFalseTrueTrueFalseTrueTrueFalseFalseFalseFalseFALSEFalseFalseFalseFalseTrueFalseFalseTRUETrueFalseTrueTrueTrueFalseTrueTrueTrueFalseFalseTrueTrueTrueFalseTrueTrueTrueFalseTrueTrueTrueFalseTrueFalseTrueFalseTrueTrueTrueFALSEFalseFALSEFalseFalseTrueTrueTrueFalseFalseFalseFALSETRUETrueTrueTrueTrueTrueFalseFalseFalseFALSEFalseTrueFalseFalseTrueChina, India, Russia, Saudi Arabia, UAE
455001D000001hBP1tNaNRosGosStrakh (RGS Group)P&I CEENaNNaNNaNNaNNaNNaNNaNRGS Group, also known as RosGosStrakh, is one of the largest insurance companies in Russia, providing a wide range of insurance products to individuals, businesses, and government entities. The company has a strong focus on both life and non-life insurance, offering coverage for health, property, liability, and other types of risks. RGS Group has a solid market position and a robust distribution network, with a large number of sales agents and partnerships with banks and other financial institutions. The company's investment portfolio includes a diverse range of assets, including real estate, fixed income securities, and private equity investments, contributing to its overall financial stability and growth potential. With a strong brand reputation and a solid track record of financial performance, RGS Group presents an attractive opportunity for investors looking to capitalize on the insurance industry in Russia.RosGosStrakh (RGS Group) focuses its investments in a broad range of asset classes, including equities, fixed income securities, and derivatives, with a strong emphasis on diversification. The company's investment strategy is characterized by a conservative approach that prioritizes stability and long-term growth. Additionally, RGS Group actively seeks out alternative investments such as hedge funds and private placements to further enhance diversification and mitigate risk. The company's commitment to thorough research and due diligence ensures that its investment decisions are based on a comprehensive understanding of market trends and potential risks. RGS Group's investment focus also encompasses international markets, allowing for a global perspective in its investment portfolio.FALSEFALSEFALSEFALSEFALSETRUEFALSEFALSEFalseTrueTrueTrueTrueTrueFalseFalseFalseFalseFalseFalseFalseTrueTRUETrueFalseTrueFalseTrueFalseFalseFALSETrueTrueTrueTrueFalseFalseTrueTrueTrueFalseFalseTrueTrueTrueTrueTrueFalseTrueFalseFalseFalseTrueFalseFalseFalseTrueFalseFalseTrueTrueFALSEFalseTRUETrueFalseFalseTrueFalseTrueFalseFalseFALSETRUETrueTrueFalseTrueFalseFalseTrueFalseFALSEFalseTrueFalseTrueTrueNaN
456001D000001hBP6eNaNSOGAZ Insurance GroupP&I CEENaNNaNNaNNaNNaNNaNNaNSOGAZ Insurance Group is a leading insurance company in Russia, offering a wide range of insurance products, including life, health, property, and casualty insurance. The company has a strong focus on wealth management and is actively engaged in providing investment opportunities to their clients. With its extensive network of regional offices and a strong presence in the Russian market, SOGAZ has established itself as a trusted partner for both individual and corporate clients. The company has also ventured into real estate investments, with a portfolio of properties that contribute to its overall investment strategy. Additionally, SOGAZ has a significant presence in the fixed income market, with a focus on providing stable and reliable returns for its clients.SOGAZ Insurance Group focuses its investment strategy on a diverse set of asset classes including fixed income securities such as government bonds, corporate bonds, and asset-backed securities. Additionally, the company also invests in public equities from various sectors and geographies, seeking to achieve a balanced exposure to growth and value stocks. SOGAZ also has a focus on alternative investments such as hedge funds, commodities, and real estate investment trusts in order to enhance portfolio diversification and potentially increase risk-adjusted returns. Furthermore, the company may allocate a portion of its investment portfolio to money market instruments and cash equivalents in order to manage liquidity and ensure capital preservation. Lastly, SOGAZ prioritizes investment opportunities that align with its overall risk management and regulatory compliance framework to safeguard its financial position.FALSEFALSETRUEFALSEFALSEFALSETRUEFALSEFalseFalseFalseTrueTrueFalseTrueFalseTrueTrueFalseFalseTrueTrueFALSETrueTrueFalseFalseFalseTrueFalseFALSEFalseTrueFalseTrueFalseFalseFalseFalseTrueFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseTrueTrueTrueFALSEFalseTRUETrueFalseTrueTrueTrueTrueFalseFalseTRUETRUEFalseTrueFalseTrueTrueTrueFalseFalseFALSETrueTrueFalseTrueTrueNaN
457001D000001hBPibNaNRESO-GarantiaP&I CEENaNNaNNaNNaNNaNNaNNaNRESO-Garantia is a prominent Russian insurance company that primarily specializes in providing insurance, investment, and wealth management services. With a strong market presence, the company operates across a wide range of financial services including life, health, property, and casualty insurance. In addition to its strong insurance portfolio, RESO-Garantia has also strategically diversified into wealth management, offering a broad range of investment products including real estate, fixed income, and private equity opportunities to its clients. This diversified approach allows the company to provide comprehensive financial solutions to its customer base, making it a well-rounded and dynamic player in the financial services industry. With a focus on innovation and customer service, RESO-Garantia is well-positioned to capture a substantial market share in the insurance and financial services sector.RESO-Garantia is a Russian-based investment company that focuses on a diversified portfolio of assets across various classes, including fixed income, equity, and alternative investments. The company’s investment approach involves seeking opportunities in both domestic and international markets, with a focus on generating long-term value for its stakeholders. RESO-Garantia has a strong emphasis on risk management and seeks to deploy capital in economically attractive sectors with potential for growth. The company’s investment strategy is built on a rigorous analysis of market trends, company performance, and macroeconomic indicators to identify investment opportunities that offer attractive risk-adjusted returns. Additionally, RESO-Garantia is committed to maintaining a well-balanced and diversified portfolio to mitigate potential downside risks and optimize overall returns.TRUETRUEFALSETRUETRUEFALSETRUEFALSETrueTrueTrueTrueTrueTrueTrueTrueTrueTrueFalseTrueFalseTrueTRUETrueTrueTrueTrueTrueTrueTrueTRUETrueTrueTrueFalseFalseFalseTrueTrueTrueFalseFalseTrueFalseFalseTrueFalseTrueFalseTrueTrueTrueTrueTrueFalseFalseFalseFalseTrueTrueTrueTRUETrueTRUETrueTrueFalseTrueTrueTrueFalseTrueFALSETRUETrueTrueTrueTrueTrueTrueTrueTrueTRUETrueTrueTrueTrueTrueNaN
458001D000000vfBfcNaNNPF GazfondP&I CEENaNNaNNaNNaNNaNNaNNaNNPF Gazfond is a Russian non-state pension fund that is actively engaged in wealth management, with a focus on providing pension products and financial planning services to clients. The company has a strong presence in the real estate market, with investments in commercial and residential properties, providing a stable income stream for the fund and its investors. Additionally, NPF Gazfond has a significant presence in fixed income investments, with a diversified portfolio of bonds and other fixed income securities, providing a secure and reliable source of income. The company also has a well-established private equity division, focusing on investments in private companies with high growth potential, diversifying its investment portfolio and providing opportunities for significant returns. With a strong track record of performance and a robust strategic approach, NPF Gazfond is well-positioned to deliver long-term value to its investors.NPF Gazfond focuses on investing in a diversified portfolio of assets, including stocks, bonds, and other fixed-income securities, in both domestic and international markets. The company’s investment strategy emphasizes a long-term horizon and a balanced approach, seeking to manage risks and achieve steady returns. NPF Gazfond also explores opportunities in alternative investments such as hedge funds, commodities, and infrastructure projects to further diversify its portfolio and enhance potential returns. The investment team at NPF Gazfond employs rigorous due diligence to identify attractive opportunities and actively manages the portfolio to adapt to changing market conditions and maximize investment performance. The company's approach is guided by a commitment to prudent, disciplined, and transparent investing, tailored to the specific needs and objectives of its stakeholders.FALSETRUETRUEFALSEFALSEFALSEFALSEFALSEFalseTrueTrueTrueTrueTrueTrueFalseTrueTrueTrueTrueTrueTrueTRUETrueTrueTrueFalseTrueTrueTrueTRUETrueTrueTrueFalseTrueTrueTrueTrueFalseFalseFalseTrueTrueTrueTrueTrueFalseTrueFalseTrueTrueTrueTrueTrueFalseTrueTrueTrueFalseTrueTRUEFalseTRUEFalseTrueTrueFalseTrueTrueTrueFalseFALSETRUETrueTrueFalseTrueTrueTrueTrueTrueFALSETrueTrueFalseTrueTrueNaN
459001D000001hB993NaNSava Insurance GroupP&I CEENaNNaNNaNNaNNaNNaNNaNSava Insurance Group is a well-established insurance service provider that has been in operation for several years. The company offers a wide range of insurance products, including automobile, homeowners, and commercial insurance. Sava Insurance Group has a strong and experienced management team that is well-versed in the insurance industry. They have a robust customer base and have a strong focus on customer service and retention. Additionally, the company has expanded its service offerings by engaging in wealth management, real estate, fixed income, and private equity, providing additional revenue streams and potential growth opportunities.Sava Insurance Group is an investment firm that focuses on a diverse range of asset classes, including traditional equities, fixed income securities, commodities, and real estate investment trusts (REITs). The company’s investment strategy emphasizes long-term growth by targeting well-established companies with strong fundamentals and attractive valuation metrics. In addition to traditional asset classes, Sava Insurance Group also invests in alternative investments such as infrastructure assets, hedge funds, and emerging market securities to diversify its portfolio and capture uncorrelated returns. The firm’s investment approach is characterized by rigorous fundamental analysis, risk management, and a keen focus on financial market trends to identify attractive investment opportunities across different asset classes. Sava Insurance Group leverages its expertise and network of industry professionals to continually assess market dynamics and capitalize on emerging investment themes to drive long-term value for its clients.FALSETRUEFALSETRUEFALSEFALSETRUEFALSEFalseTrueTrueTrueTrueTrueFalseFalseTrueTrueFalseFalseFalseTrueTRUETrueTrueTrueFalseFalseFalseTrueTRUETrueTrueTrueFalseFalseFalseTrueTrueFalseFalseFalseTrueTrueFalseFalseTrueTrueTrueFalseFalseTrueFalseFalseFalseFalseFalseTrueFalseTrueFalseTRUETrueTRUEFalseTrueTrueTrueTrueTrueFalseTrueTRUETRUEFalseFalseFalseTrueTrueFalseTrueTrueFALSETrueTrueTrueTrueTrueSlovenia, Croatia, Serbia
460001D000000mqm5uNaNTriglav GroupP&I CEENaNNaNNaNNaNNaNNaNNaNTriglav Group is a leading insurance and financial services provider in Slovenia and the Adria region. The company offers a wide range of insurance products, including property and casualty, life and health insurance, as well as savings and investment products. Triglav Group also has a strong presence in the real estate market, with a focus on commercial and residential properties. Additionally, the company is involved in wealth management services, providing investment and advisory services to their clients. Triglav Group has a solid track record in fixed income and private equity investments, offering diverse investment opportunities to their clients.Triglav Group's investment focus is primarily on traditional asset classes such as equities, fixed income securities, and money market instruments. The company also strategically invests in alternative assets including real estate, infrastructure, and commodities. Their investment strategy is built on a balanced portfolio approach that captures the benefits of diversification across different asset classes in order to mitigate risk. Triglav Group's investment team focuses on thorough research and analysis to identify opportunities that align with their long-term investment objectives. They aim to create value for their stakeholders through disciplined and well-informed investment decisions.FALSETRUETRUEFALSEFALSETRUETRUEFALSETrueTrueTrueFalseFalseTrueFalseFalseFalseTrueFalseFalseFalseTrueFALSETrueFalseTrueFalseTrueTrueFalseTRUETrueTrueTrueTrueFalseFalseTrueFalseFalseFalseFalseTrueTrueTrueFalseTrueFalseTrueFalseFalseFalseTrueFalseFalseFalseFalseTrueFalseFalseTrueFALSETrueTRUEFalseFalseTrueTrueTrueTrueTrueFalseFALSETRUETrueTrueFalseTrueFalseTrueTrueTrueFALSETrueTrueFalseTrueTrueSlovenia